Pandas Profiling Report

Dataset statistics

Number of variables	83
Number of observations	2946
Missing cells	43075
Missing cells (%)	17.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.9 MiB
Average record size in memory	664.0 B

Variable types

Numeric	6
Categorical	76
Boolean	1

Warnings

`Process Date` has constant value "2019-12-17T00:00:00.000"	Constant
`pymnt_plan` has constant value "False"	Constant
`LOAN_AMT` has a high cardinality: 492 distinct values	High cardinality
`Business Title` has a high cardinality: 1244 distinct values	High cardinality
`Civil Service Title` has a high cardinality: 312 distinct values	High cardinality
`Division/Work Unit` has a high cardinality: 678 distinct values	High cardinality
`Job Description` has a high cardinality: 1608 distinct values	High cardinality
`Minimum Qual Requirements` has a high cardinality: 336 distinct values	High cardinality
`Preferred Skills` has a high cardinality: 1282 distinct values	High cardinality
`Additional Information` has a high cardinality: 681 distinct values	High cardinality
`To Apply` has a high cardinality: 893 distinct values	High cardinality
`Hours/Shift` has a high cardinality: 181 distinct values	High cardinality
`Posting Date` has a high cardinality: 493 distinct values	High cardinality
`Posting Updated` has a high cardinality: 487 distinct values	High cardinality
`DevType` has a high cardinality: 810 distinct values	High cardinality
`CommunicationTools` has a high cardinality: 348 distinct values	High cardinality
`EducationTypes` has a high cardinality: 264 distinct values	High cardinality
`SelfTaughtTypes` has a high cardinality: 226 distinct values	High cardinality
`HackathonReasons` has a high cardinality: 98 distinct values	High cardinality
`LanguageWorkedWith` has a high cardinality: 1578 distinct values	High cardinality
`LanguageDesireNextYear` has a high cardinality: 1607 distinct values	High cardinality
`DatabaseWorkedWith` has a high cardinality: 691 distinct values	High cardinality
`DatabaseDesireNextYear` has a high cardinality: 819 distinct values	High cardinality
`PlatformWorkedWith` has a high cardinality: 764 distinct values	High cardinality
`PlatformDesireNextYear` has a high cardinality: 938 distinct values	High cardinality
`FrameworkWorkedWith` has a high cardinality: 216 distinct values	High cardinality
`FrameworkDesireNextYear` has a high cardinality: 363 distinct values	High cardinality
`IDE` has a high cardinality: 839 distinct values	High cardinality
`Methodology` has a high cardinality: 155 distinct values	High cardinality
`orignal_website_directory` has a high cardinality: 2946 distinct values	High cardinality
`zip_code` has a high cardinality: 629 distinct values	High cardinality
`earliest_cr_line` has a high cardinality: 426 distinct values	High cardinality
`Time` has a high cardinality: 698 distinct values	High cardinality
`your_favoritearticle_today` has a high cardinality: 2945 distinct values	High cardinality
`url` has a high cardinality: 2946 distinct values	High cardinality
`Email` has a high cardinality: 1921 distinct values	High cardinality
`homeaddress` has a high cardinality: 2629 distinct values	High cardinality
`officeaddress` has a high cardinality: 2331 distinct values	High cardinality
`website` has a high cardinality: 1369 distinct values	High cardinality
`CrimeTime` has a high cardinality: 754 distinct values	High cardinality
`Residency Requirement` is highly correlated with `previousaddress` and 5 other fields	High correlation
`previousaddress` is highly correlated with `Residency Requirement` and 4 other fields	High correlation
`HackathonReasons` is highly correlated with `Residency Requirement` and 1 other fields	High correlation
`YearsCoding` is highly correlated with `Age` and 1 other fields	High correlation
`term` is highly correlated with `loan_status` and 1 other fields	High correlation
`OperatingSystem` is highly correlated with `VersionControl`	High correlation
`purpose` is highly correlated with `title`	High correlation
`next_pymnt_d` is highly correlated with `Residency Requirement` and 2 other fields	High correlation
`Age` is highly correlated with `YearsCoding` and 1 other fields	High correlation
`TimeAfterBootcamp` is highly correlated with `emp_length`	High correlation
`emp_length` is highly correlated with `TimeAfterBootcamp` and 1 other fields	High correlation
`dateAdded` is highly correlated with `Residency Requirement` and 4 other fields	High correlation
`latitude` is highly correlated with `previousaddress` and 3 other fields	High correlation
`Target_Salary` is highly correlated with `Residency Requirement` and 1 other fields	High correlation
`YearsCodingProf` is highly correlated with `YearsCoding` and 1 other fields	High correlation
`loan_status` is highly correlated with `term` and 1 other fields	High correlation
`last_pymnt_amnt` is highly correlated with `next_pymnt_d` and 1 other fields	High correlation
`last_credit_pull_d` is highly correlated with `last_pymnt_d`	High correlation
`last_pymnt_d` is highly correlated with `term` and 3 other fields	High correlation
`addr_state` is highly correlated with `next_pymnt_d`	High correlation
`phones` is highly correlated with `Residency Requirement` and 4 other fields	High correlation
`longitude` is highly correlated with `previousaddress` and 3 other fields	High correlation
`title` is highly correlated with `purpose`	High correlation
`VersionControl` is highly correlated with `OperatingSystem`	High correlation
`PHONE` is highly correlated with `emp_length`	High correlation
`AIResponsible` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`Residency Requirement` is highly correlated with `next_pymnt_d` and 2 other fields	High correlation
`AIDangerous` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`previousaddress` is highly correlated with `pymnt_plan` and 3 other fields	High correlation
`HackathonReasons` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`AgreeDisagree3` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`YearsCoding` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`term` is highly correlated with `pymnt_plan` and 3 other fields	High correlation
`OperatingSystem` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`LastNewJob` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`purpose` is highly correlated with `pymnt_plan` and 2 other fields	High correlation
`next_pymnt_d` is highly correlated with `Residency Requirement` and 6 other fields	High correlation
`Age` is highly correlated with `pymnt_plan` and 2 other fields	High correlation
`TimeAfterBootcamp` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`FormalEducation` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`emp_length` is highly correlated with `next_pymnt_d` and 3 other fields	High correlation
`HopeFiveYears` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`AIFuture` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`pymnt_plan` is highly correlated with `AIResponsible` and 38 other fields	High correlation
`dateAdded` is highly correlated with `previousaddress` and 3 other fields	High correlation
`YearsCodingProf` is highly correlated with `Age` and 2 other fields	High correlation
`loan_status` is highly correlated with `term` and 2 other fields	High correlation
`AgreeDisagree1` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`UpdateCV` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`last_credit_pull_d` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`JobSearchStatus` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`UndergradMajor` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`AgreeDisagree2` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`CompanySize` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`last_pymnt_d` is highly correlated with `term` and 2 other fields	High correlation
`Target_Satisfied` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`addr_state` is highly correlated with `next_pymnt_d` and 2 other fields	High correlation
`CheckInCode` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`TimeFullyProductive` is highly correlated with `next_pymnt_d` and 2 other fields	High correlation
`phones` is highly correlated with `previousaddress` and 3 other fields	High correlation
`AIInteresting` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`Process Date` is highly correlated with `AIResponsible` and 38 other fields	High correlation
`title` is highly correlated with `purpose` and 2 other fields	High correlation
`VersionControl` is highly correlated with `pymnt_plan` and 1 other fields	High correlation
`PHONE` is highly correlated with `next_pymnt_d` and 3 other fields	High correlation
`Preferred Skills` has 393 (13.3%) missing values	Missing
`Additional Information` has 1092 (37.1%) missing values	Missing
`Hours/Shift` has 2062 (70.0%) missing values	Missing
`FormalEducation` has 52 (1.8%) missing values	Missing
`UndergradMajor` has 322 (10.9%) missing values	Missing
`DevType` has 45 (1.5%) missing values	Missing
`YearsCodingProf` has 408 (13.8%) missing values	Missing
`HopeFiveYears` has 469 (15.9%) missing values	Missing
`JobSearchStatus` has 435 (14.8%) missing values	Missing
`LastNewJob` has 447 (15.2%) missing values	Missing
`UpdateCV` has 857 (29.1%) missing values	Missing
`CommunicationTools` has 923 (31.3%) missing values	Missing
`TimeFullyProductive` has 894 (30.3%) missing values	Missing
`EducationTypes` has 818 (27.8%) missing values	Missing
`SelfTaughtTypes` has 1134 (38.5%) missing values	Missing
`TimeAfterBootcamp` has 2725 (92.5%) missing values	Missing
`HackathonReasons` has 2097 (71.2%) missing values	Missing
`AgreeDisagree1` has 813 (27.6%) missing values	Missing
`AgreeDisagree2` has 813 (27.6%) missing values	Missing
`AgreeDisagree3` has 807 (27.4%) missing values	Missing
`LanguageWorkedWith` has 499 (16.9%) missing values	Missing
`LanguageDesireNextYear` has 667 (22.6%) missing values	Missing
`DatabaseWorkedWith` has 816 (27.7%) missing values	Missing
`DatabaseDesireNextYear` has 1115 (37.8%) missing values	Missing
`PlatformWorkedWith` has 876 (29.7%) missing values	Missing
`PlatformDesireNextYear` has 1037 (35.2%) missing values	Missing
`FrameworkWorkedWith` has 1313 (44.6%) missing values	Missing
`FrameworkDesireNextYear` has 1215 (41.2%) missing values	Missing
`IDE` has 586 (19.9%) missing values	Missing
`OperatingSystem` has 569 (19.3%) missing values	Missing
`Methodology` has 955 (32.4%) missing values	Missing
`VersionControl` has 614 (20.8%) missing values	Missing
`CheckInCode` has 627 (21.3%) missing values	Missing
`AIDangerous` has 946 (32.1%) missing values	Missing
`AIInteresting` has 870 (29.5%) missing values	Missing
`AIResponsible` has 876 (29.7%) missing values	Missing
`AIFuture` has 750 (25.5%) missing values	Missing
`Age` has 919 (31.2%) missing values	Missing
`title` has 64 (2.2%) missing values	Missing
`next_pymnt_d` has 2610 (88.6%) missing values	Missing
`emp_length` has 2231 (75.7%) missing values	Missing
`Email` has 1005 (34.1%) missing values	Missing
`homeaddress` has 317 (10.8%) missing values	Missing
`latitude` has 317 (10.8%) missing values	Missing
`longitude` has 317 (10.8%) missing values	Missing
`PHONE` has 2231 (75.7%) missing values	Missing
`officeaddress` has 539 (18.3%) missing values	Missing
`website` has 547 (18.6%) missing values	Missing
`id` is highly skewed (γ1 = -35.46636559)	Skewed
`Job Description` is uniformly distributed	Uniform
`orignal_website_directory` is uniformly distributed	Uniform
`your_favoritearticle_today` is uniformly distributed	Uniform
`url` is uniformly distributed	Uniform
`Email` is uniformly distributed	Uniform
`homeaddress` is uniformly distributed	Uniform
`officeaddress` is uniformly distributed	Uniform
`id` has unique values	Unique
`orignal_website_directory` has unique values	Unique
`url` has unique values	Unique

Reproduction

Analysis started	2021-06-21 06:12:44.479742
Analysis finished	2021-06-21 06:13:56.999119
Duration	1 minute and 12.52 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

id
Real number (ℝ_≥0)

SKEWED
UNIQUE

Distinct	2946
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68306233.87

Minimum	361774
Maximum	68617057
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	361774
5-th percentile	67401305
Q1	68376221.5
median	68465074.5
Q3	68537639.75
95-th percentile	68606320.5
Maximum	68617057
Range	68255283
Interquartile range (IQR)	161418.25

Descriptive statistics

Standard deviation	1814269.389
Coefficient of variation (CV)	0.02656081717
Kurtosis	1322.387473
Mean	68306233.87
Median Absolute Deviation (MAD)	80364.5
Skewness	-35.46636559
Sum	2.01230165 × 10¹¹
Variance	3.291573417 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
67969024	1	< 0.1%
68496068	1	< 0.1%
68365005	1	< 0.1%
68375225	1	< 0.1%
68406335	1	< 0.1%
68616891	1	< 0.1%
68516540	1	< 0.1%
68586174	1	< 0.1%
68604731	1	< 0.1%
68385472	1	< 0.1%
Other values (2936)	2936	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
361774	1	< 0.1%
699575	1	< 0.1%
65484553	1	< 0.1%
65855720	1	< 0.1%
65856059	1	< 0.1%
65885934	1	< 0.1%
65896070	1	< 0.1%
65916558	1	< 0.1%
65926273	1	< 0.1%
66055837	1	< 0.1%

Value	Count	Frequency (%)
68617057	1	< 0.1%
68617034	1	< 0.1%
68616919	1	< 0.1%
68616891	1	< 0.1%
68616873	1	< 0.1%
68616867	1	< 0.1%
68616851	1	< 0.1%
68616825	1	< 0.1%
68616757	1	< 0.1%
68616588	1	< 0.1%

Target_Salary
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	519
Distinct (%)	17.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	58904.13979

Minimum	0
Maximum	218587
Zeros	16
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	0
5-th percentile	32.7
Q1	49390
median	58440
Q3	73171.75
95-th percentile	97360.83
Maximum	218587
Range	218587
Interquartile range (IQR)	23781.75

Descriptive statistics

Standard deviation	26986.57594
Coefficient of variation (CV)	0.4581439612
Kurtosis	3.939434558
Mean	58904.13979
Median Absolute Deviation (MAD)	11560
Skewness	0.3859793367
Sum	173531595.8
Variance	728275280.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52524	82	2.8%
75000	71	2.4%
56990	68	2.3%
55416	61	2.1%
63031	49	1.7%
15.5	46	1.6%
54100	46	1.6%
69940	44	1.5%
65783	43	1.5%
70000	38	1.3%
Other values (509)	2398	81.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	16	0.5%
8.75	2	0.1%
13.5	4	0.1%
15	4	0.1%
15.0224	2	0.1%
15.2878	2	0.1%
15.45	3	0.1%
15.5	46	1.6%
15.5747	2	0.1%
15.6021	2	0.1%

Value	Count	Frequency (%)
218587	2	0.1%
209585	2	0.1%
200000	2	0.1%
198518	2	0.1%
175000	6	0.2%
164104	1	< 0.1%
160000	6	0.2%
157725	2	0.1%
153666	4	0.1%
150371	2	0.1%

Target_Satisfied
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

0	2327
1	619

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2946
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2327	79.0%
1	619	21.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2327	79.0%
1	619	21.0%

Most occurring characters

Value	Count	Frequency (%)
0	2327	79.0%
1	619	21.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2946	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2327	79.0%
1	619	21.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2946	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2327	79.0%
1	619	21.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2946	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2327	79.0%
1	619	21.0%

LOAN_AMT
Categorical

HIGH CARDINALITY

Distinct	492
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

$15,000.00	203
$10,000.00	188
$20,000.00	180
$12,000.00	158
$35,000.00	136
Other values (487)	2081

Length

Max length	11
Median length	11
Mean length	10.71792261
Min length	10

Characters and Unicode

Total characters	31575
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	296 ?
Unique (%)	10.0%

Sample

1st row	$3,600.00
2nd row	$24,700.00
3rd row	$20,000.00
4th row	$35,000.00
5th row	$10,400.00

Common Values

Value	Count	Frequency (%)
$15,000.00	203	6.9%
$10,000.00	188	6.4%
$20,000.00	180	6.1%
$12,000.00	158	5.4%
$35,000.00	136	4.6%
$24,000.00	101	3.4%
$5,000.00	99	3.4%
$8,000.00	93	3.2%
$18,000.00	82	2.8%
$6,000.00	81	2.7%
Other values (482)	1625	55.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
15,000.00	203	6.9%
10,000.00	188	6.4%
20,000.00	180	6.1%
12,000.00	158	5.4%
35,000.00	136	4.6%
24,000.00	101	3.4%
5,000.00	99	3.4%
8,000.00	93	3.2%
18,000.00	82	2.8%
6,000.00	81	2.7%
Other values (482)	1625	55.2%

Most occurring characters

Value	Count	Frequency (%)
0	13723	43.5%
$	2946	9.3%
,	2946	9.3%
.	2946	9.3%
	2946	9.3%
1	1454	4.6%
2	1224	3.9%
5	1166	3.7%
3	476	1.5%
8	460	1.5%
Other values (4)	1288	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19791	62.7%
Other Punctuation	5892	18.7%
Currency Symbol	2946	9.3%
Space Separator	2946	9.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13723	69.3%
1	1454	7.3%
2	1224	6.2%
5	1166	5.9%
3	476	2.4%
8	460	2.3%
4	420	2.1%
6	382	1.9%
7	306	1.5%
9	180	0.9%

Other Punctuation

Value	Count	Frequency (%)
,	2946	50.0%
.	2946	50.0%

Currency Symbol

Value	Count	Frequency (%)
$	2946	100.0%

Space Separator

Value	Count	Frequency (%)
	2946	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	31575	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13723	43.5%
$	2946	9.3%
,	2946	9.3%
.	2946	9.3%
	2946	9.3%
1	1454	4.6%
2	1224	3.9%
5	1166	3.7%
3	476	1.5%
8	460	1.5%
Other values (4)	1288	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31575	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	13723	43.5%
$	2946	9.3%
,	2946	9.3%
.	2946	9.3%
	2946	9.3%
1	1454	4.6%
2	1224	3.9%
5	1166	3.7%
3	476	1.5%
8	460	1.5%
Other values (4)	1288	4.1%

Business Title
Categorical

HIGH CARDINALITY

Distinct	1244
Distinct (%)	42.2%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

Assistant Civil Engineer	33
Project Manager	29
College Aide	24
Construction Project Manager	22
ACCOUNTABLE MANAGER	20
Other values (1239)	2818

Length

Max length	115
Median length	25
Mean length	28.82654447
Min length	4

Characters and Unicode

Total characters	84923
Distinct characters	70
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	263 ?
Unique (%)	8.9%

Sample

1st row	Account Manager
2nd row	EXECUTIVE DIRECTOR, BUSINESS DEVELOPMENT
3rd row	Maintenance Worker - Technical Services-Heating Unit
4th row	Maintenance Worker - Technical Services-Heating Unit
5th row	Temporary Painter

Common Values

Value	Count	Frequency (%)
Assistant Civil Engineer	33	1.1%
Project Manager	29	1.0%
College Aide	24	0.8%
Construction Project Manager	22	0.7%
ACCOUNTABLE MANAGER	20	0.7%
Confidential Investigator	18	0.6%
Watershed Maintainer	17	0.6%
Investigator	17	0.6%
Prosecuting Attorney	16	0.5%
Senior Project Manager	15	0.5%
Other values (1234)	2735	92.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
manager	362	3.4%
analyst	307	2.9%
of	249	2.3%
assistant	235	2.2%
engineer	231	2.2%
director	228	2.1%
	207	1.9%
and	207	1.9%
project	202	1.9%
senior	165	1.6%
Other values (942)	8230	77.5%

Most occurring characters

Value	Count	Frequency (%)
	7757	9.1%
e	6734	7.9%
i	5584	6.6%
n	5447	6.4%
t	5313	6.3%
r	4974	5.9%
a	4685	5.5%
o	4153	4.9%
s	3348	3.9%
c	2489	2.9%
Other values (60)	34439	40.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55739	65.6%
Uppercase Letter	19874	23.4%
Space Separator	7757	9.1%
Other Punctuation	704	0.8%
Dash Punctuation	236	0.3%
Decimal Number	233	0.3%
Open Punctuation	190	0.2%
Close Punctuation	188	0.2%
Final Punctuation	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	2409	12.1%
E	1913	9.6%
C	1877	9.4%
S	1679	8.4%
I	1537	7.7%
T	1322	6.7%
R	1172	5.9%
P	1137	5.7%
D	961	4.8%
N	946	4.8%
Other values (16)	4921	24.8%

Lowercase Letter

Value	Count	Frequency (%)
e	6734	12.1%
i	5584	10.0%
n	5447	9.8%
t	5313	9.5%
r	4974	8.9%
a	4685	8.4%
o	4153	7.5%
s	3348	6.0%
c	2489	4.5%
l	2246	4.0%
Other values (16)	10766	19.3%

Other Punctuation

Value	Count	Frequency (%)
,	458	65.1%
/	123	17.5%
&	93	13.2%
.	14	2.0%
'	12	1.7%
#	4	0.6%

Decimal Number

Value	Count	Frequency (%)
2	73	31.3%
1	51	21.9%
3	49	21.0%
0	44	18.9%
4	12	5.2%
5	4	1.7%

Dash Punctuation

Value	Count	Frequency (%)
-	218	92.4%
–	18	7.6%

Space Separator

Value	Count	Frequency (%)
	7757	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	190	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	188	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	75613	89.0%
Common	9310	11.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6734	8.9%
i	5584	7.4%
n	5447	7.2%
t	5313	7.0%
r	4974	6.6%
a	4685	6.2%
o	4153	5.5%
s	3348	4.4%
c	2489	3.3%
A	2409	3.2%
Other values (42)	30477	40.3%

Common

Value	Count	Frequency (%)
	7757	83.3%
,	458	4.9%
-	218	2.3%
(	190	2.0%
)	188	2.0%
/	123	1.3%
&	93	1.0%
2	73	0.8%
1	51	0.5%
3	49	0.5%
Other values (8)	110	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	84903	> 99.9%
Punctuation	20	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	7757	9.1%
e	6734	7.9%
i	5584	6.6%
n	5447	6.4%
t	5313	6.3%
r	4974	5.9%
a	4685	5.5%
o	4153	4.9%
s	3348	3.9%
c	2489	2.9%
Other values (58)	34419	40.5%

Punctuation

Value	Count	Frequency (%)
–	18	90.0%
’	2	10.0%

Civil Service Title
Categorical

HIGH CARDINALITY

Distinct	312
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

COMMUNITY COORDINATOR	182
AGENCY ATTORNEY	112
CIVIL ENGINEER	87
CITY RESEARCH SCIENTIST	83
CONSTRUCTION PROJECT MANAGER	72
Other values (307)	2410

Length

Max length	30
Median length	24
Mean length	23.25526137
Min length	4

Characters and Unicode

Total characters	68510
Distinct characters	49
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	0.8%

Sample

1st row	CONTRACT REVIEWER (OFFICE OF L
2nd row	ADMINISTRATIVE BUSINESS PROMOT
3rd row	MAINTENANCE WORKER
4th row	MAINTENANCE WORKER
5th row	PAINTER

Common Values

Value	Count	Frequency (%)
COMMUNITY COORDINATOR	182	6.2%
AGENCY ATTORNEY	112	3.8%
CIVIL ENGINEER	87	3.0%
CITY RESEARCH SCIENTIST	83	2.8%
CONSTRUCTION PROJECT MANAGER	72	2.4%
CLERICAL ASSOCIATE	72	2.4%
COMMUNITY ASSOCIATE	69	2.3%
ADMINISTRATIVE PROJECT MANAGER	58	2.0%
COMPUTER SYSTEMS MANAGER	57	1.9%
ADMINISTRATIVE STAFF ANALYST (	53	1.8%
Other values (302)	2101	71.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
administrative	413	5.0%
associate	313	3.8%
manager	312	3.8%
community	288	3.5%
engineer	277	3.4%
analyst	252	3.1%
project	241	2.9%
city	190	2.3%
coordinator	190	2.3%
agency	181	2.2%
Other values (396)	5525	67.5%

Most occurring characters

Value	Count	Frequency (%)
E	6406	9.4%
I	6289	9.2%
A	6267	9.1%
T	6225	9.1%
	5242	7.7%
N	5030	7.3%
S	4615	6.7%
R	4582	6.7%
C	4234	6.2%
O	3911	5.7%
Other values (39)	15709	22.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	62099	90.6%
Space Separator	5242	7.7%
Open Punctuation	573	0.8%
Close Punctuation	357	0.5%
Dash Punctuation	98	0.1%
Other Punctuation	67	0.1%
Decimal Number	46	0.1%
Lowercase Letter	28	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	6406	10.3%
I	6289	10.1%
A	6267	10.1%
T	6225	10.0%
N	5030	8.1%
S	4615	7.4%
R	4582	7.4%
C	4234	6.8%
O	3911	6.3%
M	2574	4.1%
Other values (16)	11966	19.3%

Lowercase Letter

Value	Count	Frequency (%)
m	6	21.4%
s	4	14.3%
e	4	14.3%
v	4	14.3%
t	2	7.1%
o	2	7.1%
r	2	7.1%
g	2	7.1%
w	2	7.1%

Other Punctuation

Value	Count	Frequency (%)
/	19	28.4%
&	15	22.4%
'	13	19.4%
#	10	14.9%
,	6	9.0%
.	4	6.0%

Decimal Number

Value	Count	Frequency (%)
2	25	54.3%
1	19	41.3%
3	1	2.2%
5	1	2.2%

Space Separator

Value	Count	Frequency (%)
	5242	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	573	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	98	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	357	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	62127	90.7%
Common	6383	9.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	6406	10.3%
I	6289	10.1%
A	6267	10.1%
T	6225	10.0%
N	5030	8.1%
S	4615	7.4%
R	4582	7.4%
C	4234	6.8%
O	3911	6.3%
M	2574	4.1%
Other values (25)	11994	19.3%

Common

Value	Count	Frequency (%)
	5242	82.1%
(	573	9.0%
)	357	5.6%
-	98	1.5%
2	25	0.4%
1	19	0.3%
/	19	0.3%
&	15	0.2%
'	13	0.2%
#	10	0.2%
Other values (4)	12	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	68510	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	6406	9.4%
I	6289	9.2%
A	6267	9.1%
T	6225	9.1%
	5242	7.7%
N	5030	7.3%
S	4615	6.7%
R	4582	6.7%
C	4234	6.2%
O	3911	5.7%
Other values (39)	15709	22.9%

Division/Work Unit
Categorical

HIGH CARDINALITY

Distinct	678
Distinct (%)	23.0%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

Executive Management	56
Central Brookly City Operation	36
Law Department	32
Administration	31
Citywide Cybersecurity	29
Other values (673)	2762

Length

Max length	30
Median length	22
Mean length	21.29633401
Min length	2

Characters and Unicode

Total characters	62739
Distinct characters	76
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	118 ?
Unique (%)	4.0%

Sample

1st row	Strategy & Analytics
2nd row	Tech Talent Pipeline
3rd row	Management Services Department
4th row	Management Services Department
5th row	Dept of Management & Planning

Common Values

Value	Count	Frequency (%)
Executive Management	56	1.9%
Central Brookly City Operation	36	1.2%
Law Department	32	1.1%
Administration	31	1.1%
Citywide Cybersecurity	29	1.0%
Default	28	1.0%
Green Infrastructure	25	0.8%
W S/Connections Permitting	25	0.8%
Dept of Environment Protection	24	0.8%
Information Technology	24	0.8%
Other values (668)	2636	89.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	396	4.7%
office	241	2.9%
management	199	2.4%
of	191	2.3%
executive	130	1.5%
services	105	1.2%
information	83	1.0%
department	80	1.0%
dept	73	0.9%
and	72	0.9%
Other values (880)	6840	81.3%

Most occurring characters

Value	Count	Frequency (%)
	5518	8.8%
e	5272	8.4%
n	4546	7.2%
t	4193	6.7%
i	4053	6.5%
a	3410	5.4%
r	3235	5.2%
o	3088	4.9%
s	2392	3.8%
c	1879	3.0%
Other values (66)	25153	40.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	44601	71.1%
Uppercase Letter	10717	17.1%
Space Separator	5518	8.8%
Other Punctuation	1118	1.8%
Dash Punctuation	521	0.8%
Decimal Number	99	0.2%
Open Punctuation	77	0.1%
Close Punctuation	77	0.1%
Connector Punctuation	8	< 0.1%
Final Punctuation	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	1285	12.0%
S	976	9.1%
P	856	8.0%
O	808	7.5%
E	792	7.4%
A	779	7.3%
M	742	6.9%
D	659	6.1%
I	535	5.0%
B	530	4.9%
Other values (16)	2755	25.7%

Lowercase Letter

Value	Count	Frequency (%)
e	5272	11.8%
n	4546	10.2%
t	4193	9.4%
i	4053	9.1%
a	3410	7.6%
r	3235	7.3%
o	3088	6.9%
s	2392	5.4%
c	1879	4.2%
l	1737	3.9%
Other values (16)	10796	24.2%

Decimal Number

Value	Count	Frequency (%)
1	29	29.3%
2	16	16.2%
6	11	11.1%
4	10	10.1%
3	9	9.1%
0	9	9.1%
8	6	6.1%
5	5	5.1%
7	2	2.0%
9	2	2.0%

Other Punctuation

Value	Count	Frequency (%)
/	444	39.7%
&	345	30.9%
.	162	14.5%
,	68	6.1%
'	50	4.5%
:	45	4.0%
#	4	0.4%

Space Separator

Value	Count	Frequency (%)
	5518	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	521	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	77	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	77	100.0%

Other Symbol

Value	Count	Frequency (%)
�	1	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	8	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55318	88.2%
Common	7421	11.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5272	9.5%
n	4546	8.2%
t	4193	7.6%
i	4053	7.3%
a	3410	6.2%
r	3235	5.8%
o	3088	5.6%
s	2392	4.3%
c	1879	3.4%
l	1737	3.1%
Other values (42)	21513	38.9%

Common

Value	Count	Frequency (%)
	5518	74.4%
-	521	7.0%
/	444	6.0%
&	345	4.6%
.	162	2.2%
(	77	1.0%
)	77	1.0%
,	68	0.9%
'	50	0.7%
:	45	0.6%
Other values (14)	114	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62736	> 99.9%
Punctuation	2	< 0.1%
Specials	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5518	8.8%
e	5272	8.4%
n	4546	7.2%
t	4193	6.7%
i	4053	6.5%
a	3410	5.4%
r	3235	5.2%
o	3088	4.9%
s	2392	3.8%
c	1879	3.0%
Other values (64)	25150	40.1%

Specials

Value	Count	Frequency (%)
�	1	100.0%

Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Job Description
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1608
Distinct (%)	54.6%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

The New York City Taxi and Limousine Commission (TLC) is the agency responsible for regulating New York City's taxicab and for-hire vehicle industry. TLC licenses and regulates over 130,000 vehicles and more than 175,000 drivers, making it the most active taxi and limousine regulatory agency in the United States. Aside from vehicles and drivers, TLC also regulates taxicab agents and for-hire vehicle bases, including popular app-based transportation services. The TLC plays a pivotal role in furthering public safety within New York City and is a lead agency in a citywide effort to reduce traffic-related injuries. One of the largest components of TLC’s operations is the enforcement of agency and administrative code regulations. The Prosecution Division investigates and prosecutes all summonses issued by TLC which consist of administrative, field and consumer-initiated complaints. Our division prosecutes a wide range of violations including reckless driving, unlicensed operation, illegal street pickups, harassment and leaving the scene of an accident. Prosecuting Attorneys represent TLC on cases heard before the Hearings Division of the Office of Administrative Trials and Hearings and will gain robust hands-on litigation experience as they rotate through various prosecutorial assignments, including Consumer Intake, Settlements, Hearings and Appeals. Duties and responsibilities will include, but are not limited to: • Managing a daily caseload and independently representing the Taxi and Limousine Commission at administrative hearings, including preparing and presenting witnesses and evidence at trial. • Evaluating case strengths and weaknesses to effectively negotiate plea and settlement agreements with respondents and/or their attorneys or representatives. • Interviewing consumer complainants to obtain complaint details and determine appropriate charging violations and settlement offers. • Reviewing hearing dispositions for summonses dismissed at OATH; drafting appeals and Chair petitions when appropriate.	14
The New York City Taxi and Limousine Commission (TLC) is the City agency responsible for oversight of the for-hire vehicle industries in New York City, which Include yellow medallion taxis, green Boro taxis, community car services and livery cars, black cars services, luxury limousines, commuter vans and Para-transit services. Combined, TLC regulates Industries that are responsible for over 800,000 daily trips. Our role is to ensure that each passenger's riding experience is safe comfortable and convenient and that TLC drivers are driving safely. Under direction of the Executive leadership of the TLC Uniformed Services Bureau, the Enforcement Deputy Chief will: • Oversee enforcement squads assigned to the overnight shift that conduct patrol and other enforcement operations citywide. • Provide training and mentoring for all rank levels. • Partner with other law enforcement agencies and industry stakeholders when developing enforcement strategies. • Develop and manage a unified approach to addressing illegal for-hire activity, utilizing enforcement statistics to determine performance measures. • Utilize enforcement statistics and for-hire trip data to identify trends that will inform staff deployment and enforcement strategies. • Present at internal and external meetings/briefing on Enforcement Division performance. • Deputy Chief will make changes to deployment strategies and squad assignments ensuring the Enforcement Division capability to carry out its mission and responsibilities in an exemplary manner. • Deputy Chief will be responsible for other management projects and responsibilities as determined by Uniformed Services Bureau Leadership. • Author Division memos related to disciplinary action and unusual incidents; tactical plans and review all written documentation drafted by junior supervisory staff. • Conduct initial internal investigations regarding the behavior of staff in violation of agency policy which may impact employee’s Special Patrolmen status with the NYPD. • Attend community meeting (i.e. precinct community council meetings, town halls, inter-agency operation meetings, etc.). • Inform staff of current directives and orders • Responsible for serviceability, proper care and use of equipment, patrol and administrative record keeping. • Responsible for conducting annual and probationary performance evaluations. • Instruct and frequently test the knowledge of staff regarding their duties and responsibilities. • Be available via agency mobile device 24/7 to senior leadership and direct reports. • Conduct frequent uniform inspections of staff including equipment and general appearance in the field while on patrol. • Review activity of squads assigned daily, monthly, quarterly and annually. • Provide formal orientation for newly promoted and assigned Captains and Lieutenants. • Dotted line oversight over Division Radio Command Operations Desk (aka Central). • Initiate disciplinary process as needed.	6
The NYC Mayor’s Office of Environmental Remediation (OER) designs and implements the City’s brownfield cleanup and redevelopment initiatives. Foremost among these is the NYC Voluntary Cleanup Program (NYC VCP), the nation’s first municipally-run cleanup program, which offers remedial oversight and liability protection to property owners and developers of over 80 sites each year. Brownfields are sites where redevelopment is complicated by the presence of contamination, such as from prior site uses, historic fill, or chemical spills. The office manages the NYC Clean Soil Bank that arranges the reuse of clean soil from deep excavations to provide substantial financial and environmental benefits. OER also supports Community Brownfield Planning Areas and administers the Brownfield Incentive Grant (BIG) program, which provides funding for the investigation and cleanup of brownfield sites as well as grants to community-based organizations conducting planning around brownfields. Additional OER programs and initiatives include the E-Designation Review Program for hazardous materials, air quality, and noise; Green Property Certification; and community engagement activities. To learn more about OER, please visit www.nyc.gov/oer. OER seeks a Project Manager to perform professional scientific work in engineering geology and geology on project sites under the E-Designation and City’s Voluntary Cleanup program. Duties will include but are not limited to: • Implement applicable laws and regulations and policy to meet Mayor’s Office, DEP, and OneNYC strategic environmental, remedial and engineering goals. • Become fluent in all OER Environmental Quality programs (NYC VCP, E-Designation Hazmat, Noise and Air) and other OER Programs including JumpStart, BIG Grants, Brownfield Partnership, Green Team, Green Property Certification, SPEED, EPIC, Clean Soil Bank, PURE Soil NYC and be prepared to provide assistance and answer questions from public. • Review plans, reports and schedules prepared by consultants, contractors, and agencies, and produce engineering analyses to assure technical quality and conformance with project completion dates, as well as with technical, programmatic, and regulatory considerations. • Conduct communications with development teams, the general public, elected officials, the press and other city agencies in accordance with OER, Mayor’s Office and DEP policies. • Oversee, inspect, and participate in field sampling and remediation, and oversee engineering activities. • Maintains databases and archives established by OER management for oversight of programs.	4
The Family Court Division is currently seeking applicants for the position of Assistant Borough Chief (ABC)/RTA Transfer Supervisor in the Division’s Juvenile Delinquency Prosecution Unit. The Family Court Division’s Juvenile Delinquency Prosecution Unit investigates, and prosecutes where appropriate, juvenile delinquency matters involving youth ages 7 to 17 who have been arrested for conduct that would constitute a crime if they were an adult. In accordance with recently enacted Raise the Age legislation, the division also investigates and prosecutes matters involving 16 and 17-year-olds in misdemeanor cases that originate in Family Court and felony cases which begin in the Youth Part of the Superior Court and are transferred to Family Court. The Family Court Division’s Juvenile Delinquency Prosecution Unit seeks to ensure that those youth who commit delinquent acts are held accountable for their misconduct and receive appropriate services. The Family Court system is focused on rehabilitation. The qualified applicants will be assigned to a borough based on borough needs. The primary responsibility of the ABC/RTA Transfer Supervisor will be to supervise and manage the flow of cases originating in the Youth Part. These responsibilities may include, but are not limited to: • Conferring with the District Attorney’s Office in the assigned borough regarding adolescent offender cases for purposes of compiling paperwork on adolescent offender cases and obtaining a copy of their file where a case is being removed/transferred to Family Court; • Conducting court appearances and supervising attorneys on cases being removed/transferred to Family Court when a bridge order of protection is requested; • Preparing, analyzing, and utilizing statistical data with respect to cases originating in the Youth Part; • Supervising support professionals assigned to assist with the flow of cases originating in the Youth Part; • Working and supervising in an overall fast-paced environment. Additional duties in Family Court may include, but are not limited to: • Supervising and training multiple staff attorneys; overseeing their cases from referral through disposition both in and out of the courtroom; • Providing legal and strategic advice to staff attorneys on their cases; • Assisting the Borough Chief, Deputy Borough Chief(s), and Assistant Borough Chief(s) with office initiatives and administrative duties; • Conducting case reviews, transcript reviews, and court observations; • Identifying, recommending, and referring matters for diversion; • Working with victims and advocating on their behalf; • Developing an understanding of New York City communities and the concerns of those who live in them by maintaining a consistent presence in these communities, and collaborating with community stakeholders to prevent and address juvenile delinquency; • Assisting staff attorneys in the identification, recommendation, and negotiation of matters appropriate for plea resolution; • Reviewing and editing written work, including petitions, supporting depositions, motions, and Memoranda of Law; • Reviewing court orders including, but not limited to motion decisions; • Ensuring the accurate data entry of litigation events; • Conducting courtroom observations and providing feedback to staff attorneys; • Assisting with training legal staff and support professionals; • Supervising support professionals; • Maintaining an active caseload; • Preparing, analyzing and utilizing statistical data; • Developing and maintaining collaborative relationships with all Division supervisors; • Writing, reviewing, and editing yearly performance evaluations for staff attorneys and support staff; • Assisting in the development and implementation of borough and Division-wide policies, procedures and protocols; • Representing the Division at interagency committee meetings; • Serving as a liaison to city and statewide agencies including but not limited to the NYPD, the District Attorneys’ Offices, the Department of Probation and the Administration of Children’s Services; • Conducting regular meetings with management or managerial staff, staff attorneys, and support professionals; • Drafting, reviewing, and monitoring performance enhancement and improvement plans. • Participating in a city-wide on-call system for juvenile offenses that take place during evening and weekend hours; • Working on cases and other responsibilities, including visiting crime scenes, in the evening and weekend hours; • Attending community events and meetings, including in the evening and weekend hours. This position will periodically involve participation in a citywide rotation of night/weekend court assignments.	4
The Department of Citywide Administrative Services’ (“DCAS”) Division of Energy Management (“DEM”) serves as the hub for energy management for City government operations. Today, we develop the City’s annual Heat, Light, and Power Budget; manage the City’s electricity, natural gas, and steam accounts; help our agency partners identify and pursue energy-saving opportunities at their buildings; do energy efficiency and clean power generation projects across the City’s portfolio; and implement operations and maintenance (O&M) best practices. DEM is tasked with leading the City’s efforts to reduce greenhouse gas (“GHG”) emissions by 80 percent by 2050 from a 2005 baseline (“80x50”). As part of Local Law 97, the City also recently set new targets to reduce emissions from City government operations by 40 percent by 2025 (“40x25”) and by 50 percent by 2030 (“50x30”). To meet these goals, DEM is committed to collaborating very closely with our agency partners to help them achieve major emissions reductions in their buildings. We actively are working to provide our agency partners with the energy efficiency and clean energy project funding, project delivery vehicles, technical expertise, staff resources, strategic planning support, and data analytics that they need to succeed. DEM seeks to hire a Project Manager, Capital Project Implementation to serve within our Operations Unit. The Project Manager will oversee the implementation of diverse energy efficiency projects. The person’s primary responsibility will be to manage consultants and contractors who are engaged in the design and construction of energy efficiency capital projects at City facilities. With wide latitude for the exercise of independent judgment and initiative, the Project Manager, Capital Project Implementation will be charged with the following responsibilities: • Managing energy efficiency project scoping: Develops and reviews scopes of work for energy efficiency projects, working closely with contractors and consultants. Reviews completed Energy Audits and Energy Efficiency Reports (EERs) for buildings to help guide project selection and alternatives analysis. • Managing the design and construction process for energy efficiency projects: In close collaboration with contractors and consultants, manages the execution of design and construction for a sizable portfolio of energy-related capital projects. Ensures that projects are completed in a timely, cost-effective manner. Reviews, provides comments, and makes recommendations on design packages submitted by consultants for proposed energy efficiency projects. • Performing technical calculations to verify estimated project energy usage, energy cost, and emissions: Performs engineering calculations and energy modeling to verify the reasonableness and accuracy of estimated energy usage reductions, energy cost savings, and avoided greenhouse gas emissions for proposed energy efficiency projects. • Performing site visits throughout the project implementation process: Conducts field visits to assess energy usage reduction opportunities at City buildings; refine proposed scopes of work; facilitate consultants and contractors’ walk-throughs with agency staff; ensure project compliance with the scope and schedule set forth in contract documents; and perform measurement and verification activities. • Conducting measurement and verification activities: Performs measurement and verification tasks to assess realized savings from completed energy efficiency projects. • Coordinating with agency partners, consultants, and contractors: As designated, represents DEM in meetings with different City agencies, consultants, and contractors involved in energy efficiency project implementation. • Performing program data collection, tracking, and reporting: Performs program data collection and tracking required to ensure accurate, on-demand project reporting in a range of areas, including compliance with project schedule, budgets, and scopes; measurement and verification of energy savings and avoided emissions; and projects’ contributions towards the City’s goals. Maintains relevant DEM project tracking databases.	4
Other values (1603)	2914

Length

Max length	10647
Median length	2251.5
Mean length	2429.488119
Min length	166

Characters and Unicode

Total characters	7157272
Distinct characters	110
Distinct categories	17 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	369 ?
Unique (%)	12.5%

Sample

1st row	Division of Economic & Financial Opportunity (DEFO) Mayor Michael R. Bloomberg and SBS are committed to encouraging a competitive and diverse New York City business environment by promoting the growth and success of minority and women-owned companies. New York City’s Minority and Women-owned Business Enterprise (M/WBE) program is designed to help these historically underserved groups become more competitive. JOB DESCRIPTION The Account Manager will provide a range of supportive services to City agency purchasing personnel and private-sector prime contractors to help them comply with M/WBE utilization goals under Local Law 129. The Account Manager will oversee a portfolio of several City agencies and will be responsible for the monitoring and oversight of the strategies which have been broadly laid out for agencies to increase M/WBE utilization. The primary objective for the Account Manager is to help agencies increase the number and dollar value of contracts awarded to M/WBE at various contract levels. Specifically, the Account Manager will seek to bring agencies into compliance with the Citywide utilization goals and other metrics used for measuring agency performance. Each account manager will be responsible for procurements of all sizes and methods for their respective agencies. The Account Manager will report to the Director of Procurement Initiatives. Account Manager Model Each agency has very specific vendor requirements and needs, as well as obstacles to increasing M/WBE Utilization. The account managers will learn what is procured, by what method, how frequently, and how to get more M/WBEs participating in the process. The account manager will leverage their procurement contacts to work directly with program end users to identify needs and obstacles and create appropriate solutions. The Account Manager’s responsibilities will include the following: 1. Research agency procurement practices, requirements, in order to connect M/WBE firms with future procurement opportunities 2. Work with the agency senior staff to implement strategies to increase M/WBE participation 3. Introduce new M/WBE firms to agency staff 4. Assist agency staff with tools to improve performance, including monitoring prime contractor performance relating to M/WBE subcontractor utilization goals 5. Inform agency senior staff of their performance against goals on a regular basis 6. Assist program and procurement staff with program implementation questions as they arise 7. Produce analysis of agency contracts and M/WBE program performance 8. Coordinate resources for agencies as necessary, including networking events, training sessions, etc.
2nd row	The New York City Department of Small Business Services (SBS) is a vibrant, client-centered agency whose mission is to serve New York’s small businesses, jobseekers and commercial districts. SBS makes it easier for companies in New York City to start, operate, and expand by providing direct assistance to business owners, supporting commercial districts, promoting financial and economic opportunity among minority- and women-owned businesses, preparing New Yorkers for jobs, and linking employers with a skilled and qualified workforce. SBS continues to reach for higher professional standards through innovative systems, new approaches to government, and a strong focus on its employees. NYC Business Solutions is a set of services offered by the NYC Department of Small Business Services to help businesses start, operate, and expand in New York City. All services are offered at no cost and are available to businesses of any size and at any stage. Services can be accessed through the city’s 7 NYC Business Solutions Centers, 6 Career Centers, and 3 Sector Centers located throughout the 5 boroughs. In 2010, NYC Business Solutions provided services to over 10,000 business customers located throughout the five boroughs. The Executive Director of Business Development will lead agency efforts to acquire new business customers and to increase the number of NYC Business Solutions services utilized by existing customers. The Executive Director is responsible for developing the business development strategy for all NYC Business Solutions services and ensuring effective implementation through the management of internal and external sales resources. The Executive Director will provide direct supervision to 3 Senior Account Managers and will oversee 16 sales teams in the field (70 total field staff). The Executive Director will also lead the professional development program for all staff engaging directly with business customers and is responsible for collaborating with the NYC Business Solutions marketing team to improve brand recognition throughout the five boroughs. Specific responsibilities include: Develop and execute the Agency’s business development strategy for all NYC Business Solutions services Identify business targets and coordinate sales efforts across sales teams to ensure efficient usage of system-wide resources Manage sales teams to meet their quarterly and annual sales goals through quarterly business development planning meetings and regular check-ins Directly supervise three Senior Account Managers and oversee approximately 70 field staff located at the city’s 7 NYC Business Solutions Centers, 6 Career Centers, and 3 Sector Centers Track and analyze system sales activities using Oracle CRM On Demand Collaborate with NYC Business Solutions and Workforce1 program management teams to link sales activity and service delivery Identify and create sales tools that enable sales teams to more effectively sell NYC Business Solutions services Design and implement the professional development program for all business facing staff Develop curriculum and lead sales training sessions for new and existing staff Organize and lead industry knowledge sessions with sector experts to deepen sales teams’ understanding of business prospects Lead sector focused working groups to build industry expertise and disseminate best practices across sales teams Increase awareness of NYC Business Solutions Services throughout the five boroughs of New York City Assist the marketing team to develop brochures, flyers, and advertisements to promote NYC Business Solutions services and events Participate in panel discussions and deliver public presentations at events Establish partnerships with non-profit organizations, government agencies, and the private sector to generate referrals for NYC Business Solutions services Preferred Skills: The ideal candidate will have demonstrated success developing and implementing business driven programs and will have exhibited: Strong management and leadership skills Experience planning, implementing and managing projects involving diverse stakeholders Extensive private or public sector experience in business development and sales The ability to organize and drive projects to timely completion The ability to actively listen and synthesize disparate viewpoints into a shared vision The ability to handle complexity in fast-paced entrepreneurial environments The ability to communicate effectively with a diverse array of internal and external stakeholders The ability to combine attention to detail with a clear understanding of the big picture Outstanding presentation, writing, and communications skills Outstanding analytical, problem solving, presentation and creative thinking abilities Excellent MS Excel, Word and Power Point skills Experience with Oracle CRM On Demand, SalesForce, or other customer relationship management tool preferred but not required Foreign language skills a plus
3rd row	Under direct supervision, assist in the routine maintenance operation and repair of public buildings, structures, and the equipment they contain; perform related work. Responsibilities include, but are not limited to the following: 1. Perform minor and major repairs to boilers, burners, vacuum tank, pumps, motors and other various heating equipment citywide. 2. Survey and report on existing conditions of heating equipment. 3. Assist Heating Superintendent with periodic reports. 4. Assist skill trades staff. 5. Provide assistance during emergencies. 6. Respond to all heating/hot water service disruptions. Candidates selected must be available to work and travel throughout the five boroughs; and will be required to work rotating shifts, including holidays and weekends. 8:00 AM - 4:00 PM 4:00 PM - 12:00 AM 12:00 AM - 8:00 AM
4th row	Under direct supervision, assist in the routine maintenance operation and repair of public buildings, structures, and the equipment they contain; perform related work. Responsibilities include, but are not limited to the following: 1. Perform minor and major repairs to boilers, burners, vacuum tank, pumps, motors and other various heating equipment citywide. 2. Survey and report on existing conditions of heating equipment. 3. Assist Heating Superintendent with periodic reports. 4. Assist skill trades staff. 5. Provide assistance during emergencies. 6. Respond to all heating/hot water service disruptions. Candidates selected must be available to work and travel throughout the five boroughs; and will be required to work rotating shifts, including holidays and weekends. 8:00 AM - 4:00 PM 4:00 PM - 12:00 AM 12:00 AM - 8:00 AM
5th row	Responsibilities of selected candidates will include, but are not limited to the following: 1. Prepare, fill and prime surfaces for painting. 2. Mix paint components and match colors. 3. Apply paint with a brush, roller or spray gun. 4. Apply plaster to surfaces. 5. Work on and from ladders, platforms and scaffolds 6. Rig lines and scaffolds.

Common Values

Value	Count	Frequency (%)
The New York City Taxi and Limousine Commission (TLC) is the agency responsible for regulating New York City's taxicab and for-hire vehicle industry. TLC licenses and regulates over 130,000 vehicles and more than 175,000 drivers, making it the most active taxi and limousine regulatory agency in the United States. Aside from vehicles and drivers, TLC also regulates taxicab agents and for-hire vehicle bases, including popular app-based transportation services. The TLC plays a pivotal role in furthering public safety within New York City and is a lead agency in a citywide effort to reduce traffic-related injuries. One of the largest components of TLC’s operations is the enforcement of agency and administrative code regulations. The Prosecution Division investigates and prosecutes all summonses issued by TLC which consist of administrative, field and consumer-initiated complaints. Our division prosecutes a wide range of violations including reckless driving, unlicensed operation, illegal street pickups, harassment and leaving the scene of an accident. Prosecuting Attorneys represent TLC on cases heard before the Hearings Division of the Office of Administrative Trials and Hearings and will gain robust hands-on litigation experience as they rotate through various prosecutorial assignments, including Consumer Intake, Settlements, Hearings and Appeals. Duties and responsibilities will include, but are not limited to: • Managing a daily caseload and independently representing the Taxi and Limousine Commission at administrative hearings, including preparing and presenting witnesses and evidence at trial. • Evaluating case strengths and weaknesses to effectively negotiate plea and settlement agreements with respondents and/or their attorneys or representatives. • Interviewing consumer complainants to obtain complaint details and determine appropriate charging violations and settlement offers. • Reviewing hearing dispositions for summonses dismissed at OATH; drafting appeals and Chair petitions when appropriate.	14	0.5%
The New York City Taxi and Limousine Commission (TLC) is the City agency responsible for oversight of the for-hire vehicle industries in New York City, which Include yellow medallion taxis, green Boro taxis, community car services and livery cars, black cars services, luxury limousines, commuter vans and Para-transit services. Combined, TLC regulates Industries that are responsible for over 800,000 daily trips. Our role is to ensure that each passenger's riding experience is safe comfortable and convenient and that TLC drivers are driving safely. Under direction of the Executive leadership of the TLC Uniformed Services Bureau, the Enforcement Deputy Chief will: • Oversee enforcement squads assigned to the overnight shift that conduct patrol and other enforcement operations citywide. • Provide training and mentoring for all rank levels. • Partner with other law enforcement agencies and industry stakeholders when developing enforcement strategies. • Develop and manage a unified approach to addressing illegal for-hire activity, utilizing enforcement statistics to determine performance measures. • Utilize enforcement statistics and for-hire trip data to identify trends that will inform staff deployment and enforcement strategies. • Present at internal and external meetings/briefing on Enforcement Division performance. • Deputy Chief will make changes to deployment strategies and squad assignments ensuring the Enforcement Division capability to carry out its mission and responsibilities in an exemplary manner. • Deputy Chief will be responsible for other management projects and responsibilities as determined by Uniformed Services Bureau Leadership. • Author Division memos related to disciplinary action and unusual incidents; tactical plans and review all written documentation drafted by junior supervisory staff. • Conduct initial internal investigations regarding the behavior of staff in violation of agency policy which may impact employee’s Special Patrolmen status with the NYPD. • Attend community meeting (i.e. precinct community council meetings, town halls, inter-agency operation meetings, etc.). • Inform staff of current directives and orders • Responsible for serviceability, proper care and use of equipment, patrol and administrative record keeping. • Responsible for conducting annual and probationary performance evaluations. • Instruct and frequently test the knowledge of staff regarding their duties and responsibilities. • Be available via agency mobile device 24/7 to senior leadership and direct reports. • Conduct frequent uniform inspections of staff including equipment and general appearance in the field while on patrol. • Review activity of squads assigned daily, monthly, quarterly and annually. • Provide formal orientation for newly promoted and assigned Captains and Lieutenants. • Dotted line oversight over Division Radio Command Operations Desk (aka Central). • Initiate disciplinary process as needed.	6	0.2%
The NYC Mayor’s Office of Environmental Remediation (OER) designs and implements the City’s brownfield cleanup and redevelopment initiatives. Foremost among these is the NYC Voluntary Cleanup Program (NYC VCP), the nation’s first municipally-run cleanup program, which offers remedial oversight and liability protection to property owners and developers of over 80 sites each year. Brownfields are sites where redevelopment is complicated by the presence of contamination, such as from prior site uses, historic fill, or chemical spills. The office manages the NYC Clean Soil Bank that arranges the reuse of clean soil from deep excavations to provide substantial financial and environmental benefits. OER also supports Community Brownfield Planning Areas and administers the Brownfield Incentive Grant (BIG) program, which provides funding for the investigation and cleanup of brownfield sites as well as grants to community-based organizations conducting planning around brownfields. Additional OER programs and initiatives include the E-Designation Review Program for hazardous materials, air quality, and noise; Green Property Certification; and community engagement activities. To learn more about OER, please visit www.nyc.gov/oer. OER seeks a Project Manager to perform professional scientific work in engineering geology and geology on project sites under the E-Designation and City’s Voluntary Cleanup program. Duties will include but are not limited to: • Implement applicable laws and regulations and policy to meet Mayor’s Office, DEP, and OneNYC strategic environmental, remedial and engineering goals. • Become fluent in all OER Environmental Quality programs (NYC VCP, E-Designation Hazmat, Noise and Air) and other OER Programs including JumpStart, BIG Grants, Brownfield Partnership, Green Team, Green Property Certification, SPEED, EPIC, Clean Soil Bank, PURE Soil NYC and be prepared to provide assistance and answer questions from public. • Review plans, reports and schedules prepared by consultants, contractors, and agencies, and produce engineering analyses to assure technical quality and conformance with project completion dates, as well as with technical, programmatic, and regulatory considerations. • Conduct communications with development teams, the general public, elected officials, the press and other city agencies in accordance with OER, Mayor’s Office and DEP policies. • Oversee, inspect, and participate in field sampling and remediation, and oversee engineering activities. • Maintains databases and archives established by OER management for oversight of programs.	4	0.1%
The Family Court Division is currently seeking applicants for the position of Assistant Borough Chief (ABC)/RTA Transfer Supervisor in the Division’s Juvenile Delinquency Prosecution Unit. The Family Court Division’s Juvenile Delinquency Prosecution Unit investigates, and prosecutes where appropriate, juvenile delinquency matters involving youth ages 7 to 17 who have been arrested for conduct that would constitute a crime if they were an adult. In accordance with recently enacted Raise the Age legislation, the division also investigates and prosecutes matters involving 16 and 17-year-olds in misdemeanor cases that originate in Family Court and felony cases which begin in the Youth Part of the Superior Court and are transferred to Family Court. The Family Court Division’s Juvenile Delinquency Prosecution Unit seeks to ensure that those youth who commit delinquent acts are held accountable for their misconduct and receive appropriate services. The Family Court system is focused on rehabilitation. The qualified applicants will be assigned to a borough based on borough needs. The primary responsibility of the ABC/RTA Transfer Supervisor will be to supervise and manage the flow of cases originating in the Youth Part. These responsibilities may include, but are not limited to: • Conferring with the District Attorney’s Office in the assigned borough regarding adolescent offender cases for purposes of compiling paperwork on adolescent offender cases and obtaining a copy of their file where a case is being removed/transferred to Family Court; • Conducting court appearances and supervising attorneys on cases being removed/transferred to Family Court when a bridge order of protection is requested; • Preparing, analyzing, and utilizing statistical data with respect to cases originating in the Youth Part; • Supervising support professionals assigned to assist with the flow of cases originating in the Youth Part; • Working and supervising in an overall fast-paced environment. Additional duties in Family Court may include, but are not limited to: • Supervising and training multiple staff attorneys; overseeing their cases from referral through disposition both in and out of the courtroom; • Providing legal and strategic advice to staff attorneys on their cases; • Assisting the Borough Chief, Deputy Borough Chief(s), and Assistant Borough Chief(s) with office initiatives and administrative duties; • Conducting case reviews, transcript reviews, and court observations; • Identifying, recommending, and referring matters for diversion; • Working with victims and advocating on their behalf; • Developing an understanding of New York City communities and the concerns of those who live in them by maintaining a consistent presence in these communities, and collaborating with community stakeholders to prevent and address juvenile delinquency; • Assisting staff attorneys in the identification, recommendation, and negotiation of matters appropriate for plea resolution; • Reviewing and editing written work, including petitions, supporting depositions, motions, and Memoranda of Law; • Reviewing court orders including, but not limited to motion decisions; • Ensuring the accurate data entry of litigation events; • Conducting courtroom observations and providing feedback to staff attorneys; • Assisting with training legal staff and support professionals; • Supervising support professionals; • Maintaining an active caseload; • Preparing, analyzing and utilizing statistical data; • Developing and maintaining collaborative relationships with all Division supervisors; • Writing, reviewing, and editing yearly performance evaluations for staff attorneys and support staff; • Assisting in the development and implementation of borough and Division-wide policies, procedures and protocols; • Representing the Division at interagency committee meetings; • Serving as a liaison to city and statewide agencies including but not limited to the NYPD, the District Attorneys’ Offices, the Department of Probation and the Administration of Children’s Services; • Conducting regular meetings with management or managerial staff, staff attorneys, and support professionals; • Drafting, reviewing, and monitoring performance enhancement and improvement plans. • Participating in a city-wide on-call system for juvenile offenses that take place during evening and weekend hours; • Working on cases and other responsibilities, including visiting crime scenes, in the evening and weekend hours; • Attending community events and meetings, including in the evening and weekend hours. This position will periodically involve participation in a citywide rotation of night/weekend court assignments.	4	0.1%
The Department of Citywide Administrative Services’ (“DCAS”) Division of Energy Management (“DEM”) serves as the hub for energy management for City government operations. Today, we develop the City’s annual Heat, Light, and Power Budget; manage the City’s electricity, natural gas, and steam accounts; help our agency partners identify and pursue energy-saving opportunities at their buildings; do energy efficiency and clean power generation projects across the City’s portfolio; and implement operations and maintenance (O&M) best practices. DEM is tasked with leading the City’s efforts to reduce greenhouse gas (“GHG”) emissions by 80 percent by 2050 from a 2005 baseline (“80x50”). As part of Local Law 97, the City also recently set new targets to reduce emissions from City government operations by 40 percent by 2025 (“40x25”) and by 50 percent by 2030 (“50x30”). To meet these goals, DEM is committed to collaborating very closely with our agency partners to help them achieve major emissions reductions in their buildings. We actively are working to provide our agency partners with the energy efficiency and clean energy project funding, project delivery vehicles, technical expertise, staff resources, strategic planning support, and data analytics that they need to succeed. DEM seeks to hire a Project Manager, Capital Project Implementation to serve within our Operations Unit. The Project Manager will oversee the implementation of diverse energy efficiency projects. The person’s primary responsibility will be to manage consultants and contractors who are engaged in the design and construction of energy efficiency capital projects at City facilities. With wide latitude for the exercise of independent judgment and initiative, the Project Manager, Capital Project Implementation will be charged with the following responsibilities: • Managing energy efficiency project scoping: Develops and reviews scopes of work for energy efficiency projects, working closely with contractors and consultants. Reviews completed Energy Audits and Energy Efficiency Reports (EERs) for buildings to help guide project selection and alternatives analysis. • Managing the design and construction process for energy efficiency projects: In close collaboration with contractors and consultants, manages the execution of design and construction for a sizable portfolio of energy-related capital projects. Ensures that projects are completed in a timely, cost-effective manner. Reviews, provides comments, and makes recommendations on design packages submitted by consultants for proposed energy efficiency projects. • Performing technical calculations to verify estimated project energy usage, energy cost, and emissions: Performs engineering calculations and energy modeling to verify the reasonableness and accuracy of estimated energy usage reductions, energy cost savings, and avoided greenhouse gas emissions for proposed energy efficiency projects. • Performing site visits throughout the project implementation process: Conducts field visits to assess energy usage reduction opportunities at City buildings; refine proposed scopes of work; facilitate consultants and contractors’ walk-throughs with agency staff; ensure project compliance with the scope and schedule set forth in contract documents; and perform measurement and verification activities. • Conducting measurement and verification activities: Performs measurement and verification tasks to assess realized savings from completed energy efficiency projects. • Coordinating with agency partners, consultants, and contractors: As designated, represents DEM in meetings with different City agencies, consultants, and contractors involved in energy efficiency project implementation. • Performing program data collection, tracking, and reporting: Performs program data collection and tracking required to ensure accurate, on-demand project reporting in a range of areas, including compliance with project schedule, budgets, and scopes; measurement and verification of energy savings and avoided emissions; and projects’ contributions towards the City’s goals. Maintains relevant DEM project tracking databases.	4	0.1%
The TLC is looking for four responsible College Aides to serve as Outreach Interns. The selected candidates may be responsible for the following tasks: • Translation and Translation Review: We are looking for interns who are fluent in languages in addition to English to assist us with translation and translation review. Our most needed languages include: Spanish, Arabic, Bengali, Chinese, French, Haitian Creole, Korean, Polish, Russian and Urdu • Vision Zero Safety Education: Interns will be responsible for conducting Vision Zero safety education to TLC licensees by visiting FHV bases and taxi garages to give presentations and distribute information about Vision Zero, the mayoral initiative to eliminate pedestrian fatalities. Interns in this department help make NYC streets safer by presenting to TLC licensees about Vision Zero and safe driving principles, having TLC licensed drivers sign the Safe Driving Pledge, and answers any questions TLC licensees may have about Vision Zero. • Outreach on TLC Initiatives: Interns will also be responsible for distribution of TLC outreach materials citywide. This may entail attending events with drivers or passengers, visiting FHV bases and taxi garages, assisting in the development of outreach materials, and meeting with stakeholders. • Lost Property: Interns may be responsible for various tasks involving our Lost Property department. Lost Property receives inquiries from passengers of TLC-licensed vehicles about items they have left in these vehicles, and works to reunite passengers with their lost belongs.	4	0.1%
The NYC Department of Sanitation is the world’s largest sanitation department. DSNY collects more than 10,500 tons of residential and institutional garbage and 1,760 tons of the recyclables — each day. While efficiently managing solid waste and clearing litter or snow from 6,300 miles of streets, the Department is also a leader in environmentalism — committing to sending zero waste to landfills. The Medical Division consists of an occupational health care facility with a medical staff that monitors the medical condition of more than 8,000 employees. The primary responsibilities of this position are to: • Examine and evaluate the health status of employees who are injured on the job or recovering from an illness to determine their fitness for duty; • May conduct staff meetings, clinical conferences and training programs for the staff; • Works closely with other physicians, nurses, administrative and clerical staff; • Performs other medical specialty assignments equivalent to the typical tasks described above.	4	0.1%
New York City is home to approximately 1.64 million older adults, and the Department for the Aging (DFTA) is committed to helping them age in their homes and communities. The mission of DFTA is to eliminate ageism and ensure the dignity and quality of life of diverse older adults. DFTA also works to support caregivers through service, advocacy, and education. DFTA seeks a dynamic, motivated and detail-oriented individual to serve as a College Aide, to work in the Office of Information & Technology. The Office of Information & Technology is tasked to lead DFTA’s efforts to ensure that databases are up and running and provide a seamless flow of information throughout the agency considering both back-end data structure and front-end accessibility for end users. The Office of Information & Technology also ensures that DFTA’s computer systems are on par with the advanced technology therefore agency staff can provide services to caregivers and DFTA funded programs. Agency staff computer equipment is always functional and maintained due to Help Desk support which is provided within the agency and throughout DFTA funded programs. In this role, the College Aide will: • Provide in field technical support and assistance for DFTA’s applications to end-users. • Provide in field technical support in a courteous and professional manner. • Provide knowledgeable support for agency developed and third party software. • Fully understand the functional and operational features of agency developed software. • Understanding of the basic functions and features of applications. • Perform the initial setup and/or upgrades to microcomputer equipment and software, and assure their proper operation and connectivity to local area network and Internet. • Troubleshoot issues with hand held bar code scanners and agency printing issues. • Install and update of agency developed and third party software and update virus scan and windows updates as needed. • Diagnose problems on site and provide resolutions. • Assist with training DFTA users with agency software’s.	4	0.1%
The New York City Department of Housing Preservation and Development (HPD) is the nation’s largest municipal housing preservation and development agency. Its mission is to promote quality housing and diverse, thriving neighborhoods for New Yorkers through loan and development programs for new affordable housing, preservation of the affordability of the existing housing stock, enforcement of housing quality standards, and educational programs for tenants and building owners. HPD is tasked with fulfilling Mayor de Blasio’s Housing New York Plan which was recently expanded and accelerated through Housing New York 2.0 to complete the initial goal of 200,000 homes two years ahead of schedule by 2022, and achieve an additional 100,000 homes over the following four years, for a total of 300,000 homes by 2026. Your Team: The Office of Building and Land Development Services (BLDS) leads the agency’s effort in providing architectural, engineering, environmental planning, and construction support services to the various divisions within HPD’s Office of Development. The Office of Development utilizes a public-private partnership model and provides loans, grants and/or incentives to assist in the finance of housing development projects that will benefit low- and moderate-income New Yorkers. The Division of Building and Land Development Services is the largest division within the Office of Development with over 120 staff composed of seven Unit which include; the Bureau of New Construction Design Services, the Bureau of Preservation Design Services, the Bureau of Engineering, the Bureau of Construction Services, Environmental Planning Unit, the Codes and Standards Unit, and the Program Management Unit. Your Impact: As a Construction Project Manager, you will oversee and monitor the construction activities for projects that are HPD financed projects as part of the Mayor’s Housing New York plan and ensure construction quality and safety at HPD-financed sites. Your Role: The ideal candidate should have a background in Construction Management, Architecture, Engineering, or related field, and possess a thorough understanding and strong knowledge base of New York City building and construction codes, as well as Federal, State, and City housing codes and regulations. Your Responsibilities: • Perform field work and assist in monitoring the construction progress of multiple projects simultaneously and assure work is completed in a cost-effective and timely manner, and in accordance with the approved contract documents and all applicable City, State, and Federal design and construction codes and regulations. • Responsible for performing construction management work and overseeing or assisting in the oversight of the rehabilitation and/or new construction of multi-family projects located within the five boroughs of New York City. • Knowledge of construction contracts and documents, scheduling, site safety, cost and controls. • Perform difficult technical work in determining the need for and feasibility of construction work and monitor private contractors/vendors carrying out new construction, rehabilitation, repairs, alterations, and/or structural maintenance work.	4	0.1%
Providing technical support to the Affirmative Litigation Division in managing collection matters, referrals and reporting processes for cases. Managing troubleshooting and processing data files into the Law Manager system, interfacing with outside collections and law firms in the monthly process as well as handling new referrals and automation projects. Design and development, testing and implementation, maintenance and enhancement of database management systems, operating systems, data communications and/or computer applications through product lifecycle using MS technology: CRM (2010/2013) and .NET VB / C# (2010/2013). Develop store procedure/SSIS packages, test, install, migrate and applying software and database schema changes, reporting services in regard to SQL 2008/2012. Supporting the testing and implementation of various internal /external NYC LAW data exchange interfaces via SQL, Administer and support MS Team Foundation Server 2013 (TFS) and Crystal Reports.	4	0.1%
Other values (1598)	2894	98.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	72297	7.1%
the	53150	5.2%
of	34394	3.4%
to	27458	2.7%
in	15002	1.5%
for	14038	1.4%
•	13297	1.3%
with	11891	1.2%
a	8969	0.9%
as	7537	0.7%
Other values (13800)	760107	74.7%

Most occurring characters

Value	Count	Frequency (%)
	1040876	14.5%
e	668048	9.3%
i	492841	6.9%
t	491560	6.9%
n	485157	6.8%
a	452500	6.3%
o	405764	5.7%
s	386979	5.4%
r	383130	5.4%
l	227345	3.2%
Other values (100)	2123072	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5594522	78.2%
Space Separator	1040876	14.5%
Uppercase Letter	293975	4.1%
Other Punctuation	145571	2.0%
Decimal Number	32854	0.5%
Control	12412	0.2%
Dash Punctuation	11739	0.2%
Close Punctuation	8779	0.1%
Open Punctuation	8459	0.1%
Final Punctuation	6728	0.1%
Other values (7)	1357	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	668048	11.9%
i	492841	8.8%
t	491560	8.8%
n	485157	8.7%
a	452500	8.1%
o	405764	7.3%
s	386979	6.9%
r	383130	6.8%
l	227345	4.1%
d	222805	4.0%
Other values (19)	1378393	24.6%

Uppercase Letter

Value	Count	Frequency (%)
C	34272	11.7%
T	24827	8.4%
D	23192	7.9%
P	21822	7.4%
S	20943	7.1%
E	20574	7.0%
A	19900	6.8%
O	15237	5.2%
N	14361	4.9%
I	13829	4.7%
Other values (16)	85018	28.9%

Other Punctuation

Value	Count	Frequency (%)
,	63526	43.6%
.	40847	28.1%
•	13972	9.6%
;	10428	7.2%
:	5122	3.5%
/	5064	3.5%
*	2750	1.9%
'	1598	1.1%
&	1498	1.0%
#	281	0.2%
Other values (9)	485	0.3%

Decimal Number

Value	Count	Frequency (%)
0	11153	33.9%
1	6685	20.3%
2	3525	10.7%
5	2822	8.6%
3	2305	7.0%
6	1635	5.0%
4	1416	4.3%
8	1404	4.3%
9	1011	3.1%
7	898	2.7%

Open Punctuation

Value	Count	Frequency (%)
(	8444	99.8%
[	11	0.1%
{	4	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	8762	99.8%
]	13	0.1%
}	4	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	11318	96.4%
–	315	2.7%
—	106	0.9%

Math Symbol

Value	Count	Frequency (%)
+	87	57.6%
~	44	29.1%
>	20	13.2%

Final Punctuation

Value	Count	Frequency (%)
’	6348	94.4%
”	380	5.6%

Control

Value	Count	Frequency (%)
	12379	99.7%
	33	0.3%

Initial Punctuation

Value	Count	Frequency (%)
“	370	97.6%
‘	9	2.4%

Currency Symbol

Value	Count	Frequency (%)
$	677	99.7%
€	2	0.3%

Other Symbol

Value	Count	Frequency (%)
¦	18	56.2%
°	14	43.8%

Space Separator

Value	Count	Frequency (%)
	1040876	100.0%

Format

Value	Count	Frequency (%)
	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	112	100.0%

Other Number

Value	Count	Frequency (%)
½	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5888497	82.3%
Common	1268775	17.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	668048	11.3%
i	492841	8.4%
t	491560	8.3%
n	485157	8.2%
a	452500	7.7%
o	405764	6.9%
s	386979	6.6%
r	383130	6.5%
l	227345	3.9%
d	222805	3.8%
Other values (45)	1672368	28.4%

Common

Value	Count	Frequency (%)
	1040876	82.0%
,	63526	5.0%
.	40847	3.2%
•	13972	1.1%
	12379	1.0%
-	11318	0.9%
0	11153	0.9%
;	10428	0.8%
)	8762	0.7%
(	8444	0.7%
Other values (45)	47070	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7135414	99.7%
Punctuation	21502	0.3%
Latin 1 Sup	354	< 0.1%
Currency Symbols	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1040876	14.6%
e	668048	9.4%
i	492841	6.9%
t	491560	6.9%
n	485157	6.8%
a	452500	6.3%
o	405764	5.7%
s	386979	5.4%
r	383130	5.4%
l	227345	3.2%
Other values (81)	2101214	29.4%

Punctuation

Value	Count	Frequency (%)
•	13972	65.0%
’	6348	29.5%
”	380	1.8%
“	370	1.7%
–	315	1.5%
—	106	0.5%
‘	9	< 0.1%
…	2	< 0.1%

Latin 1 Sup

Value	Count	Frequency (%)
¿	190	53.7%
§	78	22.0%
·	41	11.6%
¦	18	5.1%
°	14	4.0%
ç	5	1.4%
	2	0.6%
½	2	0.6%
â	2	0.6%
à	2	0.6%

Currency Symbols

Value	Count	Frequency (%)
€	2	100.0%

Minimum Qual Requirements
Categorical

HIGH CARDINALITY

Distinct	336
Distinct (%)	11.5%
Missing	20
Missing (%)	0.7%
Memory size	23.1 KiB

1. A baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or 2. High school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least one year of experience as described in "1" above.	182
1. Admission to the New York State Bar; and either "2" or "3" below. 2. One year of satisfactory United States legal experience subsequent to admission to any state bar; or 3. Six months of satisfactory service as an Agency Attorney Interne (30086). Incumbents must remain Members of the New York State Bar in good standing for the duration of this employment. In addition to meeting the minimum Qualification Requirements: To be assigned to Assignment Level (AL) II, candidates must have one year of experience at Assignment Level I or two years of comparable legal experience subsequent to admission to the bar, in the areas of law related to the assignment. To be assigned to AL III candidates must have two years of experience in Assignment Levels I and/or II or three years of comparable legal experience subsequent to admission to the bar, in the areas of law related to the assignment.	112
(1) Four (4) years of full-time, satisfactory experience in civil engineering work; and (2) A valid New York State Professional Engineer’s License. Current New York State registration as a Professional Engineer must be maintained for the duration of your employment. A masters degree in civil engineering from an accredited college or university, accredited by regional, national, professional or specialized agencies recognized as accrediting bodies by the U.S. Secretary of Education and by the Council for Higher Education Accreditation (CHEA) may be substituted for one year of the civil engineering experience required in “1" above. Special Note: In addition to above qualification requirements, to be eligible for placement in Assignment Levels II and III, individuals must have at least one year within the last three years of experience as a major contributor or a project leader on a complex project requiring additional and specific expertise in the disciplines needed to design or construct the project.	87
1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year.	83
1. A four-year high school diploma or its educational equivalent approved by a State’s Department of Education or a recognized accrediting organization, and five years of full-time satisfactory experience managing and/or inspecting one or more construction projects which must have a total cost of at least $300,000 for each of the five years of the required experience; or 2. One year of the experience as described in “1” above and a baccalaureate degree from an accredited college or university, accredited by regional, national, professional or specialized agencies recognized as accrediting bodies by the U. S. Secretary of Education and by the Council for Higher Education Accreditation (CHEA), in engineering, engineering technology, architecture, architectural technology, landscape architecture, construction, construction technology, or construction management; or 3. One year of the experience as described in “1” above and a valid license as a professional engineer, registered architect, or registered landscape architect, issued by a board of examining engineers, architects, or landscape architects duly established and qualified pursuant to the laws of any state or territory of the United States; or 4. A four-year high school diploma or its educational equivalent approved by a State's Department of Education or a recognized accrediting organization, and a combination of at least two years of experience as described in “1” above and the education as described in “2” above to equal a total of five years of education and experience. Matriculation in an undergraduate college degree program as described in “2” above may be substituted for experience on the basis of 30 semester credits for one year of satisfactory full-time experience up to a maximum of three years of experience. Note: Candidates must specify for each construction project they worked on: a description of the construction project, the time period they worked on the construction project, and the type of work they performed. Candidates must also specify the money allotted for the project. Driver License Requirement: At the time of appointment to this position, you must have a motor vehicle driver license valid in the State of New York. If you have moving violations, license suspension or an accident record, you may be disqualified. This license must be maintained for the duration of your employment. 5. For Assignment to Level II, In addition to meeting the "Qualification Requirements" above, candidates must have one additional year of satisfactory full-time experience working in Assignment Level I; or one additional year of satisfactory full-time experience as described in "1" above. 6. For Assignment to Level III, in addition to meeting the Qualification Requirements for Construction Project Manager, candidates must have two additional years of satisfactory full-time experience working in Construction Project Manager Assignment Level I and II; or two additional years of satisfactory full-time experience as described in question "1" above and possess a motor vehicle driver license valid in the State of New York which must be maintained for the duration of employment noting that if you have moving violations, license suspension or an accident record, you may be disqualified.	72
Other values (331)	2390

Length

Max length	4310
Median length	954
Mean length	1104.586808
Min length	50

Characters and Unicode

Total characters	3232021
Distinct characters	82
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	1.0%

Sample

1st row	1. A baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or 2. High school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least one year of experience as described in "1" above.
2nd row	1. A baccalaureate degree from an accredited college or university and five years of full-time paid experience acquired within the last fifteen years, of supervisory or administrative experience including handling of business promotion or urban economic problems, at least 2 years of which must have been in a managerial or executive capacity with primary focus on business promotion or urban economic planning; or 2. A satisfactory equivalent combination of education and experience. However all candidates must have 2 years of managerial or executive experience as described in "1" above. Appropriate graduate study in an accredited college or university may be substituted for the general experience on a year-for-year basis. All candidates must have a four-year high school diploma or its equivalent approved by a State's Department of Education or a recognized accrediting organization.
3rd row	1. Three years of full-time satisfactory experience as a mechanic, journey person or helper in the electrical trades, the mechanical trades, or the construction or maintenance of buildings; or 2. A satisfactory combination of education and experience that is equivalent to "1" above. Education may be substituted for experience on the basis that each one year of full-time training in the electrical, mechanical, or construction trades in a trade school or vocational high school approved by a State’s Department of Education or a recognized accrediting organization, may be substituted for six months of the experience described in "1" above. However, all candidates must have a minimum of two years of experience as described in "1" above.
4th row	1. Three years of full-time satisfactory experience as a mechanic, journey person or helper in the electrical trades, the mechanical trades, or the construction or maintenance of buildings; or 2. A satisfactory combination of education and experience that is equivalent to "1" above. Education may be substituted for experience on the basis that each one year of full-time training in the electrical, mechanical, or construction trades in a trade school or vocational high school approved by a State’s Department of Education or a recognized accrediting organization, may be substituted for six months of the experience described in "1" above. However, all candidates must have a minimum of two years of experience as described in "1" above.
5th row	1. Five years of full-time satisfactory experience as a painter acquired within the last fifteen years; or 2. At least three years of full-time satisfactory experience as a painter acquired within the last fifteen years and sufficient full-time satisfactory apprentice painter experience to make up a total of five years of acceptable experience. Six months of acceptable experience will be credited for each year of apprentice painter experience.

Common Values

Value	Count	Frequency (%)
1. A baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or 2. High school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least one year of experience as described in "1" above.	182	6.2%
1. Admission to the New York State Bar; and either "2" or "3" below. 2. One year of satisfactory United States legal experience subsequent to admission to any state bar; or 3. Six months of satisfactory service as an Agency Attorney Interne (30086). Incumbents must remain Members of the New York State Bar in good standing for the duration of this employment. In addition to meeting the minimum Qualification Requirements: To be assigned to Assignment Level (AL) II, candidates must have one year of experience at Assignment Level I or two years of comparable legal experience subsequent to admission to the bar, in the areas of law related to the assignment. To be assigned to AL III candidates must have two years of experience in Assignment Levels I and/or II or three years of comparable legal experience subsequent to admission to the bar, in the areas of law related to the assignment.	112	3.8%
(1) Four (4) years of full-time, satisfactory experience in civil engineering work; and (2) A valid New York State Professional Engineer’s License. Current New York State registration as a Professional Engineer must be maintained for the duration of your employment. A masters degree in civil engineering from an accredited college or university, accredited by regional, national, professional or specialized agencies recognized as accrediting bodies by the U.S. Secretary of Education and by the Council for Higher Education Accreditation (CHEA) may be substituted for one year of the civil engineering experience required in “1" above. Special Note: In addition to above qualification requirements, to be eligible for placement in Assignment Levels II and III, individuals must have at least one year within the last three years of experience as a major contributor or a project leader on a complex project requiring additional and specific expertise in the disciplines needed to design or construct the project.	87	3.0%
1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year.	83	2.8%
1. A four-year high school diploma or its educational equivalent approved by a State’s Department of Education or a recognized accrediting organization, and five years of full-time satisfactory experience managing and/or inspecting one or more construction projects which must have a total cost of at least $300,000 for each of the five years of the required experience; or 2. One year of the experience as described in “1” above and a baccalaureate degree from an accredited college or university, accredited by regional, national, professional or specialized agencies recognized as accrediting bodies by the U. S. Secretary of Education and by the Council for Higher Education Accreditation (CHEA), in engineering, engineering technology, architecture, architectural technology, landscape architecture, construction, construction technology, or construction management; or 3. One year of the experience as described in “1” above and a valid license as a professional engineer, registered architect, or registered landscape architect, issued by a board of examining engineers, architects, or landscape architects duly established and qualified pursuant to the laws of any state or territory of the United States; or 4. A four-year high school diploma or its educational equivalent approved by a State's Department of Education or a recognized accrediting organization, and a combination of at least two years of experience as described in “1” above and the education as described in “2” above to equal a total of five years of education and experience. Matriculation in an undergraduate college degree program as described in “2” above may be substituted for experience on the basis of 30 semester credits for one year of satisfactory full-time experience up to a maximum of three years of experience. Note: Candidates must specify for each construction project they worked on: a description of the construction project, the time period they worked on the construction project, and the type of work they performed. Candidates must also specify the money allotted for the project. Driver License Requirement: At the time of appointment to this position, you must have a motor vehicle driver license valid in the State of New York. If you have moving violations, license suspension or an accident record, you may be disqualified. This license must be maintained for the duration of your employment. 5. For Assignment to Level II, In addition to meeting the "Qualification Requirements" above, candidates must have one additional year of satisfactory full-time experience working in Assignment Level I; or one additional year of satisfactory full-time experience as described in "1" above. 6. For Assignment to Level III, in addition to meeting the Qualification Requirements for Construction Project Manager, candidates must have two additional years of satisfactory full-time experience working in Construction Project Manager Assignment Level I and II; or two additional years of satisfactory full-time experience as described in question "1" above and possess a motor vehicle driver license valid in the State of New York which must be maintained for the duration of employment noting that if you have moving violations, license suspension or an accident record, you may be disqualified.	72	2.4%
Qualification Requirements A four-year high school diploma or its educational equivalent approved by a State's department of education or a recognized accrediting organization and one year of satisfactory clerical experience. Skills Requirement Keyboard familiarity with the ability to type at a minimum of 100 key strokes (20 words) per minute.	72	2.4%
Qualification Requirements 1. High school graduation or equivalent and three years of experience in community work or community centered activities in an area related to duties described above; or 2. Education and/or experience which is equivalent to "1" above.	69	2.3%
1. A master's degree in computer science from an accredited college and three years of progressively more responsible, full-time, satisfactory experience using information technology in computer applications programming, systems programming, computer systems development, data telecommunications, database administration, planning of data/information processing, user services, or area networks at least 18 months of this experience must have been in an administrative, managerial or executive capacity in the areas of computer applications programming, systems programming, computer systems development, data telecommunications, data base administration, or planning of data processing or in the supervision of staff performing these duties; or 2. A baccalaureate degree from an accredited college and four years of experience as described in "1" above; or 3. A four-year high school diploma or its educational equivalent approved by a State's department of education or recognized accrediting organization and six years of experience as described in "1" above; or 4. A satisfactory combination of education and experience equivalent to "1", "2" or "3" above. However, all candidates must have at least a four-year high school diploma or its educational equivalent approved by a State's department of education or recognized accrediting organization and must possess at least three years of experience as described in "1" above, including the 18 months of administrative, managerial, executive or supervisory experience as described in "1" above. Qualification Requirements (continued) NOTE: The following types of experience are not acceptable: superficial use of preprogrammed software without complex programming, design, implementation or management of the product; use of word processing packages; use of a hand held calculator; primarily the entering or updating of data in a system; the operation of data processing hardware or consoles.	57	1.9%
1. A baccalaureate degree from an accredited college.	56	1.9%
1. A baccalaureate degree from an accredited college and three years of satisfactory full-time progressively responsible clerical/administrative experience, one year of which must have been in an administrative capacity or supervising staff performing clerical/administrative work of more than moderate difficulty; or 2. An associate degree or 60 semester credits from an accredited college and four years of satisfactory full-time progressively responsible clerical/administrative experience including one year of the administrative supervisory experience described in "1" above; or 3. A four-year high school diploma or its educational equivalent approved by a State's department of education or a recognized accrediting organization and five years of satisfactory full-time progressively responsible clerical/administrative experience including one year of the administrative supervisory experience as described in "1" above; 4. Education and/or experience equivalent to "1", "2", or "3" above. However, all candidates must possess the one year of administrative or supervisory experience as described in "1" above. Education above the high school level may be substituted for the general clerical/administrative experience (but not for the one year of administrative or supervisory experience described in "1" above) at a rate of 30 semester credits from an accredited college for 6 months of experience up to a maximum of 3½ years.	53	1.8%
Other values (326)	2083	70.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	22899	4.8%
or	22755	4.8%
in	17851	3.8%
a	15727	3.3%
the	14210	3.0%
experience	13118	2.8%
and	9266	1.9%
to	8376	1.8%
an	7110	1.5%
years	6883	1.4%
Other values (2163)	337645	71.0%

Most occurring characters

Value	Count	Frequency (%)
	495681	15.3%
e	348850	10.8%
i	227372	7.0%
a	224541	6.9%
o	198151	6.1%
n	193961	6.0%
t	192339	6.0%
r	186185	5.8%
s	138324	4.3%
c	128839	4.0%
Other values (72)	897778	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2557340	79.1%
Space Separator	495681	15.3%
Other Punctuation	75579	2.3%
Uppercase Letter	60958	1.9%
Decimal Number	23836	0.7%
Dash Punctuation	6246	0.2%
Close Punctuation	4037	0.1%
Open Punctuation	3878	0.1%
Final Punctuation	2151	0.1%
Initial Punctuation	1811	0.1%
Other values (4)	504	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	348850	13.6%
i	227372	8.9%
a	224541	8.8%
o	198151	7.7%
n	193961	7.6%
t	192339	7.5%
r	186185	7.3%
s	138324	5.4%
c	128839	5.0%
l	99115	3.9%
Other values (16)	619663	24.2%

Uppercase Letter

Value	Count	Frequency (%)
A	11749	19.3%
I	7367	12.1%
S	5795	9.5%
E	5184	8.5%
L	4148	6.8%
C	3262	5.4%
N	2938	4.8%
T	2842	4.7%
H	2794	4.6%
R	2023	3.3%
Other values (15)	12856	21.1%

Decimal Number

Value	Count	Frequency (%)
1	8663	36.3%
2	5574	23.4%
3	3096	13.0%
0	2588	10.9%
4	1209	5.1%
6	1103	4.6%
8	816	3.4%
5	550	2.3%
9	160	0.7%
7	77	0.3%

Other Punctuation

Value	Count	Frequency (%)
,	31664	41.9%
.	18789	24.9%
"	11589	15.3%
;	6548	8.7%
/	3457	4.6%
:	2169	2.9%
'	1247	1.6%
*	63	0.1%
•	53	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	6208	99.4%
–	38	0.6%

Final Punctuation

Value	Count	Frequency (%)
”	1393	64.8%
’	758	35.2%

Control

Value	Count	Frequency (%)
	213	100.0%

Space Separator

Value	Count	Frequency (%)
	495681	100.0%

Initial Punctuation

Value	Count	Frequency (%)
“	1811	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3878	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4037	100.0%

Other Number

Value	Count	Frequency (%)
½	79	100.0%

Math Symbol

Value	Count	Frequency (%)
+	4	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	208	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2618298	81.0%
Common	613723	19.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	348850	13.3%
i	227372	8.7%
a	224541	8.6%
o	198151	7.6%
n	193961	7.4%
t	192339	7.3%
r	186185	7.1%
s	138324	5.3%
c	128839	4.9%
l	99115	3.8%
Other values (41)	680621	26.0%

Common

Value	Count	Frequency (%)
	495681	80.8%
,	31664	5.2%
.	18789	3.1%
"	11589	1.9%
1	8663	1.4%
;	6548	1.1%
-	6208	1.0%
2	5574	0.9%
)	4037	0.7%
(	3878	0.6%
Other values (21)	21092	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3227889	99.9%
Punctuation	4053	0.1%
Latin 1 Sup	79	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	495681	15.4%
e	348850	10.8%
i	227372	7.0%
a	224541	7.0%
o	198151	6.1%
n	193961	6.0%
t	192339	6.0%
r	186185	5.8%
s	138324	4.3%
c	128839	4.0%
Other values (66)	893646	27.7%

Punctuation

Value	Count	Frequency (%)
“	1811	44.7%
”	1393	34.4%
’	758	18.7%
•	53	1.3%
–	38	0.9%

Latin 1 Sup

Value	Count	Frequency (%)
½	79	100.0%

Preferred Skills
Categorical

HIGH CARDINALITY
MISSING

Distinct	1282
Distinct (%)	50.2%
Missing	393
Missing (%)	13.3%
Memory size	23.1 KiB

ERROR: #NAME?	41
Interested candidates should have excellent written and verbal communication skills, effective problem-solving skills, and the ability to prioritize, manage time, and engage in multiple tasks in a fast-paced environment. Although not required, the successful applicant will likely have one or more of the following academic or professional experiences: litigation, and/or customer relations. Bilingual proficiency preferred.	18
Ability to communicate effectively in verbal and written form.	13
1. Knowledge of Microsoft Word, Excel, Outlook, Access and PowerPoint. 2. Office experience as well as demonstrable background dealing with members of the public. 3. Excellent oral and written communication skills. 4. History of volunteerism, such as service in the AmericCorps or Peace Corps, is viewed favorably.	12
1. Experience with public housing. 2. Experience performing lead-based paint correction and remediation work for public or private large landlord or contractor. 3. Experience using wireless handheld computer devices to record data. 4. Basic computer skills; experience using Microsoft Outlook.	8
Other values (1277)	2461

Length

Max length	2932
Median length	509
Mean length	611.0842146
Min length	9

Characters and Unicode

Total characters	1560098
Distinct characters	101
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	278 ?
Unique (%)	10.9%

Sample

1st row	• Excellent interpersonal and organizational skills. • Excellent analytic and operational skills. • Excellent writing and editing skills. • Knowledge of government procurement processes and information systems desirable. • Foreign language skills a plus.
2nd row	1. A High School Diploma or GED. 2. CDL Driver's License. 3. Excellent trouble-shooting ability and mechanical aptitude. 4. Excellent analytical and organizational skills. 5. Ability to trouble-shoot various types of vacuum heating equipment. 6. Knowledge of steam and pneumatic heating systems; steam and hot water generating systems; various types of heat, air and water pumps. 7. Knowledge of Maximo work order system.
3rd row	1. A High School Diploma or GED. 2. CDL Driver's License. 3. Excellent trouble-shooting ability and mechanical aptitude. 4. Excellent analytical and organizational skills. 5. Ability to trouble-shoot various types of vacuum heating equipment. 6. Knowledge of steam and pneumatic heating systems; steam and hot water generating systems; various types of heat, air and water pumps. 7. Knowledge of Maximo work order system.
4th row	Strong analytical background; advanced proficiency in Microsoft Excel and Word; experience in procurement, budget and grant management; understanding of contract management; Strong organizational and administrative skills; and excellent oral, inter-personal and written communication skills.
5th row	In order to apply for this position, the candidate must be a permanent Associate Chemist or on an Associate Chemist Civil Service List. Experience in testing drinking water samples for trace organic contaminants by EPA-approved gas chromatographic methods is preferred: experience in testing environmental water samples for trace organic contaminants by gas chromatographic methods is also acceptable. Strong writing and communication skills are desirable as well as familiarity with computer programs, including Excel and Word.

Common Values

Value	Count	Frequency (%)
ERROR: #NAME?	41	1.4%
Interested candidates should have excellent written and verbal communication skills, effective problem-solving skills, and the ability to prioritize, manage time, and engage in multiple tasks in a fast-paced environment. Although not required, the successful applicant will likely have one or more of the following academic or professional experiences: litigation, and/or customer relations. Bilingual proficiency preferred.	18	0.6%
Ability to communicate effectively in verbal and written form.	13	0.4%
1. Knowledge of Microsoft Word, Excel, Outlook, Access and PowerPoint. 2. Office experience as well as demonstrable background dealing with members of the public. 3. Excellent oral and written communication skills. 4. History of volunteerism, such as service in the AmericCorps or Peace Corps, is viewed favorably.	12	0.4%
1. Experience with public housing. 2. Experience performing lead-based paint correction and remediation work for public or private large landlord or contractor. 3. Experience using wireless handheld computer devices to record data. 4. Basic computer skills; experience using Microsoft Outlook.	8	0.3%
A valid NYS Driver's License is required for this position.	8	0.3%
• At least five years of litigation experience in anti-discrimination law, employment law, housing law, or other civil rights-related areas. • Experience conducting discovery, reviewing documents and taking deposition or trial testimony. • Strong relationships with organizations and groups serving diverse communities in the City and five years’ experience working with some of the following people and communities: low-income tenants, recipients of public assistance, immigrants; people of color; people with limited English proficiency; people living with HIV/AIDS; lesbian, gay, bisexual and/or transgender people; people with disabilities; people with accommodations issues related to pregnancy, disability or religion; and people with criminal or arrest histories. • Demonstrated commitment to public service and strong work ethic. • Exceptional organization skills and attention to detail • Strong oral and communication skills. • Strong people skills and leadership skills. • Experience working as part of a team and ability to work collaboratively. • Ability to engage with diverse members of the public in a culturally competent manner. • Familiarity with the NYCHRL. • Fluency in a language other than English, preferably one common in New York City.	8	0.3%
• Excellent oral and written communication skills towards a technical and non-technical audience • Excellent organizational and analytical skills • Excellent interpersonal and team skills • Advanced proficiency in Microsoft Excel • Prior project management and/or engineering coursework or experience a plus • Ability to manage multiple tasks and experience working and managing through complex systems	8	0.3%
Experience working with distributed computing paradigms, experience in front end development with Javascript, and fluency in other programming languages, such as Scala, R, etc., are highly desirable. Very strong preference given to candidates demonstrating strong creative and analytical problem-solving skills and having experience or demonstrated interest in transportation dynamics, transportation policy, bike share, micromobility, and/or cycling. Experience working with the public, community groups, and New York City agencies, and strong verbal and written communication skills all desired.	7	0.2%
Candidates must have a Motor Vehicle Driver License valid in the State of New York.	6	0.2%
Other values (1272)	2424	82.3%
(Missing)	393	13.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	15020	7.0%
•	8279	3.8%
to	6034	2.8%
of	5869	2.7%
in	5078	2.4%
experience	4305	2.0%
skills	3926	1.8%
with	3845	1.8%
the	3748	1.7%
a	3643	1.7%
Other values (6171)	155866	72.3%

Most occurring characters

Value	Count	Frequency (%)
	216346	13.9%
e	143878	9.2%
i	115684	7.4%
n	109354	7.0%
t	98820	6.3%
a	95811	6.1%
o	84116	5.4%
r	79494	5.1%
s	73495	4.7%
l	64685	4.1%
Other values (91)	478415	30.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1215097	77.9%
Space Separator	216346	13.9%
Uppercase Letter	61476	3.9%
Other Punctuation	45265	2.9%
Control	7885	0.5%
Decimal Number	6305	0.4%
Dash Punctuation	3272	0.2%
Close Punctuation	1757	0.1%
Open Punctuation	1541	0.1%
Final Punctuation	646	< 0.1%
Other values (5)	508	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	143878	11.8%
i	115684	9.5%
n	109354	9.0%
t	98820	8.1%
a	95811	7.9%
o	84116	6.9%
r	79494	6.5%
s	73495	6.0%
l	64685	5.3%
c	52649	4.3%
Other values (18)	297111	24.5%

Uppercase Letter

Value	Count	Frequency (%)
S	7735	12.6%
E	6758	11.0%
A	6590	10.7%
P	4869	7.9%
C	4842	7.9%
M	3951	6.4%
D	2822	4.6%
I	2497	4.1%
T	2385	3.9%
N	2305	3.7%
Other values (17)	16722	27.2%

Other Punctuation

Value	Count	Frequency (%)
,	16508	36.5%
.	12248	27.1%
•	8988	19.9%
;	3678	8.1%
/	1715	3.8%
:	936	2.1%
*	242	0.5%
'	200	0.4%
¿	161	0.4%
·	158	0.3%
Other values (6)	431	1.0%

Decimal Number

Value	Count	Frequency (%)
1	1147	18.2%
2	1103	17.5%
3	868	13.8%
0	789	12.5%
5	688	10.9%
4	545	8.6%
6	369	5.9%
7	323	5.1%
8	292	4.6%
9	181	2.9%

Dash Punctuation

Value	Count	Frequency (%)
-	3208	98.0%
–	62	1.9%
—	2	0.1%

Currency Symbol

Value	Count	Frequency (%)
$	19	82.6%
€	2	8.7%
¢	2	8.7%

Control

Value	Count	Frequency (%)
	7883	> 99.9%
	2	< 0.1%

Math Symbol

Value	Count	Frequency (%)
+	297	98.7%
>	4	1.3%

Open Punctuation

Value	Count	Frequency (%)
(	1537	99.7%
[	4	0.3%

Close Punctuation

Value	Count	Frequency (%)
)	1753	99.8%
]	4	0.2%

Final Punctuation

Value	Count	Frequency (%)
’	624	96.6%
”	22	3.4%

Space Separator

Value	Count	Frequency (%)
	216346	100.0%

Initial Punctuation

Value	Count	Frequency (%)
“	20	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	162	100.0%

Other Symbol

Value	Count	Frequency (%)
¦	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1276573	81.8%
Common	283525	18.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	143878	11.3%
i	115684	9.1%
n	109354	8.6%
t	98820	7.7%
a	95811	7.5%
o	84116	6.6%
r	79494	6.2%
s	73495	5.8%
l	64685	5.1%
c	52649	4.1%
Other values (45)	358587	28.1%

Common

Value	Count	Frequency (%)
	216346	76.3%
,	16508	5.8%
.	12248	4.3%
•	8988	3.2%
	7883	2.8%
;	3678	1.3%
-	3208	1.1%
)	1753	0.6%
/	1715	0.6%
(	1537	0.5%
Other values (36)	9661	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1550029	99.4%
Punctuation	9718	0.6%
Latin 1 Sup	349	< 0.1%
Currency Symbols	2	< 0.1%

Most frequent character per block

Punctuation

Value	Count	Frequency (%)
•	8988	92.5%
’	624	6.4%
–	62	0.6%
”	22	0.2%
“	20	0.2%
—	2	< 0.1%

ASCII

Value	Count	Frequency (%)
	216346	14.0%
e	143878	9.3%
i	115684	7.5%
n	109354	7.1%
t	98820	6.4%
a	95811	6.2%
o	84116	5.4%
r	79494	5.1%
s	73495	4.7%
l	64685	4.2%
Other values (76)	468346	30.2%

Latin 1 Sup

Value	Count	Frequency (%)
¿	161	46.1%
·	158	45.3%
Â	20	5.7%
â	2	0.6%
¢	2	0.6%
¦	2	0.6%
§	2	0.6%
ç	2	0.6%

Currency Symbols

Value	Count	Frequency (%)
€	2	100.0%

Additional Information
Categorical

HIGH CARDINALITY
MISSING

Distinct	681
Distinct (%)	36.7%
Missing	1092
Missing (%)	37.1%
Memory size	23.1 KiB

Appointments are subject to OMB approval. For additional information about DEP, visit www.nyc.gov/dep DEP is an equal opportunity employer with a strong commitment to the diversity of our organization and workforce. Your voluntary response to the NYCAPS on-line application section for referral information will assist us tremendously in our ability to track the success of our outreach and recruitment efforts. Please be sure to indicate your source of referral to this job. NOTE: This position is open to qualified persons with a disability who are eligible for the 55-a Program and also meet the education and experience requirements as listed in the job posting notice. Please indicate on your resume or cover letter that you would like to be considered for the position under the 55-a Program. This position is also open to non 55-a Program candidates who meet the education and experience requirements as listed in the job posting notice.	87
NYCHA employees applying for promotional, title or level change opportunities must have served a period of one year in their current title and level (if applicable).	56
IMPORTANT NOTES TO ALL CANDIDATES: Please note: If you are called for an interview you will be required to bring to your interview copies of original documentation, such as: • A document that establishes identity for employment eligibility, such as: A Valid U.S. Passport, Permanent Resident Card/Green Card, or Driver’s license. • Proof of Education according to the education requirements of the civil service title. • Current Resume • Proof of Address/NYC Residency dated within the last 60 days, such as: Recent Utility Bill (i.e. Telephone, Cable, Mobile Phone) Additional documentation may be required to evaluate your qualification as outlined in this posting’s “Minimum Qualification Requirements” section. Examples of additional documentation may be, but not limited to: college transcript, experience verification or professional trade licenses. If after your interview you are the selected candidate you will be contacted to schedule an on-boarding appointment. By the time of this appointment you will be asked to produce the originals of the above documents along with your original Social Security card. LOAN FORGIVENESS The federal government provides student loan forgiveness through its Public Service Loan Forgiveness Program (PSLF) to all qualifying public service employees. Working with the DOHMH qualifies you as a public service employee and you may be able to take advantage of this program while working full-time and meeting the program’s other requirements. Please visit the Public Service Loan Forgiveness Program site to view the eligibility requirements: https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-service "FINAL APPOINTMENTS ARE SUBJECT TO OFFICE OF MANAGEMENT & BUDGET APPROVAL”	49
IMPORTANT NOTES TO ALL CANDIDATES: Please note: If you are called for an interview you will be required to bring to your interview copies of original documentation, such as: • A document that establishes identity for employment eligibility, such as: A Valid U.S. Passport, Permanent Resident Card/Green Card, or Driver’s license. • Proof of Education according to the education requirements of the civil service title. • Current Resume • Proof of Address/NYC Residency dated within the last 60 days, such as: Recent Utility Bill (i.e. Telephone, Cable, Mobile Phone) Additional documentation may be required to evaluate your qualification as outlined in this posting’s “Minimum Qualification Requirements” section. Examples of additional documentation may be, but not limited to: college transcript, experience verification or professional trade licenses. If after your interview you are the selected candidate you will be contacted to schedule an on-boarding appointment. By the time of this appointment you will be asked to produce the originals of the above documents along with your original Social Security card. LOAN FORGIVENESS The federal government provides student loan forgiveness through its Public Service Loan Forgiveness Program (PSLF) to all qualifying public service employees. Working with the DOHMH qualifies you as a public service employee and you may be able to take advantage of this program while working full-time and meeting the program’s other requirements. Please visit the Public Service Loan Forgiveness Program site to view the eligibility requirements: https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-service	36
Note: This position is open to qualified persons with a disability who are eligible for the 55-a program. Please indicate in your resume or cover letter that you would like to be considered for the position under the 55-a program.	35
Other values (676)	1591

Length

Max length	2779
Median length	511
Mean length	669.3290183
Min length	3

Characters and Unicode

Total characters	1240936
Distinct characters	87
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	182 ?
Unique (%)	9.8%

Sample

1st row	Salary range for this position is: $42,405 - $45,000 per year
2nd row	1. A Motor Vehicle Driver’s License valid in the State of New York is required for these positions. This license must be maintained for the duration of the assignment. 2. A Certificate of Fitness to Operate Air Compressors (A-35), issued by the New York City Fire Department is required for these positions. This certificate must be maintained for the duration of assignment. 3. A Certificate of Fitness for Low Pressure Oil Boilers (P-99), issued by the New York City Fire Department, is required for these positions and must be obtained within six months of appointment. This certificate must be maintained thereafter for the duration of employment.
3rd row	1. A Motor Vehicle Driver’s License valid in the State of New York is required for these positions. This license must be maintained for the duration of the assignment. 2. A Certificate of Fitness to Operate Air Compressors (A-35), issued by the New York City Fire Department is required for these positions. This certificate must be maintained for the duration of assignment. 3. A Certificate of Fitness for Low Pressure Oil Boilers (P-99), issued by the New York City Fire Department, is required for these positions and must be obtained within six months of appointment. This certificate must be maintained thereafter for the duration of employment.
4th row	SPECIAL NOTE: 1. This is a temporary assignment for a period not to exceed three months. 2. Selected candidates will be required to travel throughout the five boroughs.
5th row	SPECIAL NOTE: 1. This is a temporary assignment for a period not to exceed three months. 2. Selected candidates will be required to travel throughout the five boroughs.

Common Values

Value	Count	Frequency (%)
Appointments are subject to OMB approval. For additional information about DEP, visit www.nyc.gov/dep DEP is an equal opportunity employer with a strong commitment to the diversity of our organization and workforce. Your voluntary response to the NYCAPS on-line application section for referral information will assist us tremendously in our ability to track the success of our outreach and recruitment efforts. Please be sure to indicate your source of referral to this job. NOTE: This position is open to qualified persons with a disability who are eligible for the 55-a Program and also meet the education and experience requirements as listed in the job posting notice. Please indicate on your resume or cover letter that you would like to be considered for the position under the 55-a Program. This position is also open to non 55-a Program candidates who meet the education and experience requirements as listed in the job posting notice.	87	3.0%
NYCHA employees applying for promotional, title or level change opportunities must have served a period of one year in their current title and level (if applicable).	56	1.9%
IMPORTANT NOTES TO ALL CANDIDATES: Please note: If you are called for an interview you will be required to bring to your interview copies of original documentation, such as: • A document that establishes identity for employment eligibility, such as: A Valid U.S. Passport, Permanent Resident Card/Green Card, or Driver’s license. • Proof of Education according to the education requirements of the civil service title. • Current Resume • Proof of Address/NYC Residency dated within the last 60 days, such as: Recent Utility Bill (i.e. Telephone, Cable, Mobile Phone) Additional documentation may be required to evaluate your qualification as outlined in this posting’s “Minimum Qualification Requirements” section. Examples of additional documentation may be, but not limited to: college transcript, experience verification or professional trade licenses. If after your interview you are the selected candidate you will be contacted to schedule an on-boarding appointment. By the time of this appointment you will be asked to produce the originals of the above documents along with your original Social Security card. LOAN FORGIVENESS The federal government provides student loan forgiveness through its Public Service Loan Forgiveness Program (PSLF) to all qualifying public service employees. Working with the DOHMH qualifies you as a public service employee and you may be able to take advantage of this program while working full-time and meeting the program’s other requirements. Please visit the Public Service Loan Forgiveness Program site to view the eligibility requirements: https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-service "FINAL APPOINTMENTS ARE SUBJECT TO OFFICE OF MANAGEMENT & BUDGET APPROVAL”	49	1.7%
IMPORTANT NOTES TO ALL CANDIDATES: Please note: If you are called for an interview you will be required to bring to your interview copies of original documentation, such as: • A document that establishes identity for employment eligibility, such as: A Valid U.S. Passport, Permanent Resident Card/Green Card, or Driver’s license. • Proof of Education according to the education requirements of the civil service title. • Current Resume • Proof of Address/NYC Residency dated within the last 60 days, such as: Recent Utility Bill (i.e. Telephone, Cable, Mobile Phone) Additional documentation may be required to evaluate your qualification as outlined in this posting’s “Minimum Qualification Requirements” section. Examples of additional documentation may be, but not limited to: college transcript, experience verification or professional trade licenses. If after your interview you are the selected candidate you will be contacted to schedule an on-boarding appointment. By the time of this appointment you will be asked to produce the originals of the above documents along with your original Social Security card. LOAN FORGIVENESS The federal government provides student loan forgiveness through its Public Service Loan Forgiveness Program (PSLF) to all qualifying public service employees. Working with the DOHMH qualifies you as a public service employee and you may be able to take advantage of this program while working full-time and meeting the program’s other requirements. Please visit the Public Service Loan Forgiveness Program site to view the eligibility requirements: https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-service	36	1.2%
Note: This position is open to qualified persons with a disability who are eligible for the 55-a program. Please indicate in your resume or cover letter that you would like to be considered for the position under the 55-a program.	35	1.2%
Appointments are subject to OMB approval. For additional information about DEP, visit www.nyc.gov/dep DEP is an equal opportunity employer with a strong commitment to the diversity of our organization and workforce. Your voluntary response to the NYCAPS on-line application section for referral information will assist us tremendously in our ability to track the success of our outreach and recruitment efforts. Please be sure to indicate your source of referral to this job. NOTE: This position is open to qualified persons with a disability who are eligible for the 55-a Program and also meet the education and experience requirements as listed in the job posting notice. Please indicate on your resume or cover letter that you would like to be considered for the position under the 55-a Program. This position is also open to non 55-a Program candidates who meet the education and experience requirements as listed in the job posting notice.	27	0.9%
DEP is an equal opportunity employer with a strong commitment to the diversity of our organization and workforce. Your voluntary response to the NYCAPS on-line application section for referral information will assist us tremendously in our ability to track the success of our outreach and recruitment efforts. Please be sure to indicate your source of referral to this job. “NOTE: This position is open to qualified persons with a disability who are eligible for the 55-a Program and also meet the education and experience requirements as listed in the job posting notice. Please indicate on your resume or cover letter that you would like to be considered for the position under the 55-a Program. This position is also open to non 55-a Program candidates who meet the education and experience requirements as listed in the job posting notice.”	22	0.7%
Mayor’s Office of Contract Services is an equal opportunity employer. Special accommodations provided for applicants with disabilities. Mayor’s Office of Contract Services recognizes the unique skills and strengths gained through military service. Veterans and service members of the U.S. Armed Forces are strongly encouraged to apply. STUDENT LOAN FORGIVENESS PROGRAM The U.S. Department of Education provides student loan forgiveness through the Public Service Loan Forgiveness Program (PSLFP) to qualifying public service employees. As an employee of the City of New York, you may be eligible for loan forgiveness should you meet the program’s eligibility requirements. For additional information on the PSLFP, please visit https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-service.	20	0.7%
Appointments are subject to OMB approval. For additional information about DEP, visit www.nyc.gov/dep DEP is an equal opportunity employer with a strong commitment to the diversity of our organization and workforce. Your voluntary response to the NYCAPS on-line application section for referral information will assist us tremendously in our ability to track the success of our outreach and recruitment efforts. Please be sure to indicate your source of referral to this job.	20	0.7%
Section 424-A of the New York Social Services Law requires an authorized agency to inquire whether a candidate for employment with child-caring responsibilities has been the subject of a child abuse and maltreatment report. The City of New York and the Administration for Children’s Services are Equal Opportunity Employers Committed to Diversity	17	0.6%
Other values (671)	1485	50.4%
(Missing)	1092	37.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	9494	5.1%
to	8411	4.5%
of	5400	2.9%
and	4683	2.5%
for	3664	2.0%
be	3383	1.8%
in	3140	1.7%
a	3128	1.7%
this	2506	1.4%
your	2467	1.3%
Other values (2124)	139230	75.1%

Most occurring characters

Value	Count	Frequency (%)
	191764	15.5%
e	113032	9.1%
i	84436	6.8%
o	81547	6.6%
t	80651	6.5%
r	66749	5.4%
a	65800	5.3%
n	65262	5.3%
s	55185	4.4%
l	41352	3.3%
Other values (77)	395158	31.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	917772	74.0%
Space Separator	191764	15.5%
Uppercase Letter	89601	7.2%
Other Punctuation	25478	2.1%
Decimal Number	7255	0.6%
Dash Punctuation	3851	0.3%
Close Punctuation	1472	0.1%
Open Punctuation	1425	0.1%
Final Punctuation	1286	0.1%
Control	468	< 0.1%
Other values (4)	564	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	113032	12.3%
i	84436	9.2%
o	81547	8.9%
t	80651	8.8%
r	66749	7.3%
a	65800	7.2%
n	65262	7.1%
s	55185	6.0%
l	41352	4.5%
c	31619	3.4%
Other values (17)	232139	25.3%

Uppercase Letter

Value	Count	Frequency (%)
P	9067	10.1%
E	8812	9.8%
A	7303	8.2%
S	6772	7.6%
N	6595	7.4%
T	6586	7.4%
I	5384	6.0%
O	5356	6.0%
C	4898	5.5%
R	4069	4.5%
Other values (15)	24759	27.6%

Other Punctuation

Value	Count	Frequency (%)
.	11107	43.6%
,	4707	18.5%
/	2940	11.5%
:	2607	10.2%
*	2266	8.9%
•	665	2.6%
;	622	2.4%
'	296	1.2%
#	111	0.4%
"	81	0.3%
Other values (2)	76	0.3%

Decimal Number

Value	Count	Frequency (%)
5	3385	46.7%
2	715	9.9%
0	645	8.9%
1	643	8.9%
4	542	7.5%
6	361	5.0%
3	288	4.0%
8	239	3.3%
7	222	3.1%
9	215	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3839	99.7%
–	12	0.3%

Final Punctuation

Value	Count	Frequency (%)
’	886	68.9%
”	400	31.1%

Math Symbol

Value	Count	Frequency (%)
+	68	89.5%
>	8	10.5%

Space Separator

Value	Count	Frequency (%)
	191764	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	153	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1425	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1472	100.0%

Initial Punctuation

Value	Count	Frequency (%)
“	329	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	6	100.0%

Control

Value	Count	Frequency (%)
	468	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1007373	81.2%
Common	233563	18.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	113032	11.2%
i	84436	8.4%
o	81547	8.1%
t	80651	8.0%
r	66749	6.6%
a	65800	6.5%
n	65262	6.5%
s	55185	5.5%
l	41352	4.1%
c	31619	3.1%
Other values (42)	321740	31.9%

Common

Value	Count	Frequency (%)
	191764	82.1%
.	11107	4.8%
,	4707	2.0%
-	3839	1.6%
5	3385	1.4%
/	2940	1.3%
:	2607	1.1%
*	2266	1.0%
)	1472	0.6%
(	1425	0.6%
Other values (25)	8051	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1238634	99.8%
Punctuation	2292	0.2%
Latin 1 Sup	10	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	191764	15.5%
e	113032	9.1%
i	84436	6.8%
o	81547	6.6%
t	80651	6.5%
r	66749	5.4%
a	65800	5.3%
n	65262	5.3%
s	55185	4.5%
l	41352	3.3%
Other values (70)	392856	31.7%

Punctuation

Value	Count	Frequency (%)
’	886	38.7%
•	665	29.0%
”	400	17.5%
“	329	14.4%
–	12	0.5%

Latin 1 Sup

Value	Count	Frequency (%)
§	8	80.0%
è	2	20.0%

To Apply
Categorical

HIGH CARDINALITY

Distinct	893
Distinct (%)	30.3%
Missing	1
Missing (%)	< 0.1%
Memory size	23.1 KiB

Click the "Apply Now" button.	296
Click, "APPLY NOW" Current city employees must apply via Employee Self-Service (ESS)	116
Click the "Apply Now" button	112
To apply click "Apply Now"	90
Click "Apply Now" button	54
Other values (888)	2277

Length

Max length	1730
Median length	192
Mean length	298.8502547
Min length	12

Characters and Unicode

Total characters	880114
Distinct characters	93
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	224 ?
Unique (%)	7.6%

Sample

1st row	In addition to applying through this website, also email your resume and cover letter including the following subject line: Executive Director – Business Development to: careers@sbs.nyc.gov Salary range for this position is: $85,000 - $87,000 per year NOTE: Only those candidates under consideration will be contacted.
2nd row	Click the "Apply Now" button.
3rd row	Click the "Apply Now" button.
4th row	Click the "Apply Now" button.
5th row	Click the "Apply Now" button.

Common Values

Value	Count	Frequency (%)
Click the "Apply Now" button.	296	10.0%
Click, "APPLY NOW" Current city employees must apply via Employee Self-Service (ESS)	116	3.9%
Click the "Apply Now" button	112	3.8%
To apply click "Apply Now"	90	3.1%
Click "Apply Now" button	54	1.8%
For City employees, please go to Employee Self Service (ESS), click on Recruiting Activities > Careers, and search for the Job ID # indicated above. For all other applicants, please go to www.nyc.gov/careers and search for the Job ID # indicated above. The Mayor’s Office of Management and Budget and the City of New York are Equal Opportunity Employers. You must be a City resident within 90 days of the date of appointment and you must be legally eligible to work in the United States. SUBMISSION OF A RESUME IS NOT A GUARANTEE THAT YOU WILL RECEIVE AN INTERVIEW; ONLY THOSE CANDIDATES UNDER CONSIDERATION WILL BE CONTACTED.	46	1.6%
Click on the "Apply Now" button.	43	1.5%
Click the “Apply Now” button	41	1.4%
To apply, please click, "Apply Now".	38	1.3%
Apply Online.	38	1.3%
Other values (883)	2071	70.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
to	5302	3.9%
the	4515	3.4%
for	4285	3.2%
and	4083	3.0%
apply	2765	2.1%
please	2462	1.8%
job	2447	1.8%
be	2249	1.7%
id	2181	1.6%
of	2116	1.6%
Other values (1592)	101904	75.9%

Most occurring characters

Value	Count	Frequency (%)
	138466	15.7%
e	71392	8.1%
o	51499	5.9%
t	47147	5.4%
i	40866	4.6%
a	40779	4.6%
r	40082	4.6%
n	37397	4.2%
s	32880	3.7%
l	32705	3.7%
Other values (83)	346901	39.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	573635	65.2%
Space Separator	138466	15.7%
Uppercase Letter	115550	13.1%
Other Punctuation	31152	3.5%
Decimal Number	14677	1.7%
Dash Punctuation	2348	0.3%
Close Punctuation	1544	0.2%
Open Punctuation	1437	0.2%
Final Punctuation	529	0.1%
Initial Punctuation	346	< 0.1%
Other values (4)	430	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	71392	12.4%
o	51499	9.0%
t	47147	8.2%
i	40866	7.1%
a	40779	7.1%
r	40082	7.0%
n	37397	6.5%
s	32880	5.7%
l	32705	5.7%
c	26347	4.6%
Other values (16)	152541	26.6%

Uppercase Letter

Value	Count	Frequency (%)
E	12704	11.0%
S	10705	9.3%
A	9867	8.5%
I	9045	7.8%
N	8821	7.6%
T	8142	7.0%
C	7857	6.8%
O	7683	6.6%
D	6074	5.3%
P	5385	4.7%
Other values (15)	29267	25.3%

Other Punctuation

Value	Count	Frequency (%)
.	11571	37.1%
,	6100	19.6%
/	4862	15.6%
:	3237	10.4%
"	2345	7.5%
#	1835	5.9%
*	586	1.9%
&	232	0.7%
;	154	0.5%
'	91	0.3%
Other values (6)	139	0.4%

Decimal Number

Value	Count	Frequency (%)
4	2155	14.7%
1	2097	14.3%
2	1847	12.6%
0	1750	11.9%
5	1685	11.5%
3	1282	8.7%
7	1274	8.7%
9	1061	7.2%
6	773	5.3%
8	753	5.1%

Math Symbol

Value	Count	Frequency (%)
>	176	80.4%
\|	32	14.6%
=	7	3.2%
<	4	1.8%

Dash Punctuation

Value	Count	Frequency (%)
-	2320	98.8%
–	28	1.2%

Initial Punctuation

Value	Count	Frequency (%)
“	329	95.1%
‘	17	4.9%

Final Punctuation

Value	Count	Frequency (%)
”	338	63.9%
’	191	36.1%

Space Separator

Value	Count	Frequency (%)
	138466	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	28	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1437	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1544	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	30	100.0%

Control

Value	Count	Frequency (%)
	153	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	689185	78.3%
Common	190929	21.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	71392	10.4%
o	51499	7.5%
t	47147	6.8%
i	40866	5.9%
a	40779	5.9%
r	40082	5.8%
n	37397	5.4%
s	32880	4.8%
l	32705	4.7%
c	26347	3.8%
Other values (41)	268091	38.9%

Common

Value	Count	Frequency (%)
	138466	72.5%
.	11571	6.1%
,	6100	3.2%
/	4862	2.5%
:	3237	1.7%
"	2345	1.2%
-	2320	1.2%
4	2155	1.1%
1	2097	1.1%
2	1847	1.0%
Other values (32)	15929	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	879173	99.9%
Punctuation	939	0.1%
Latin 1 Sup	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	138466	15.7%
e	71392	8.1%
o	51499	5.9%
t	47147	5.4%
i	40866	4.6%
a	40779	4.6%
r	40082	4.6%
n	37397	4.3%
s	32880	3.7%
l	32705	3.7%
Other values (76)	345960	39.4%

Punctuation

Value	Count	Frequency (%)
”	338	36.0%
“	329	35.0%
’	191	20.3%
•	36	3.8%
–	28	3.0%
‘	17	1.8%

Latin 1 Sup

Value	Count	Frequency (%)
¿	2	100.0%

Hours/Shift
Categorical

HIGH CARDINALITY
MISSING

Distinct	181
Distinct (%)	20.5%
Missing	2062
Missing (%)	70.0%
Memory size	23.1 KiB

35 Hours	134
35 hours per week	47
Day - Due to the necessary technical support duties of this position in a 24/7 operation, candidate may be required to work various shifts such as weekends and/or nights/evenings.	38
35 hours per week / day	36
35hrs	33
Other values (176)	596

Length

Max length	247
Median length	23
Mean length	46.76244344
Min length	3

Characters and Unicode

Total characters	41338
Distinct characters	71
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31 ?
Unique (%)	3.5%

Sample

1st row	35 Hours per week/Day shift
2nd row	Monday through Friday 9;00 am - 5:00 pm
3rd row	Day
4th row	Hours: 17 hours per week when school is in session, or 35 hours per week during the summer vacation. Shift: Weekdays/minimum three (3) mornings per week.
5th row	Hours: 17 hours per week when school is in session, or 35 hours per week during the summer vacation. Shift: Weekdays/minimum three (3) mornings per week.

Common Values

Value	Count	Frequency (%)
35 Hours	134	4.5%
35 hours per week	47	1.6%
Day - Due to the necessary technical support duties of this position in a 24/7 operation, candidate may be required to work various shifts such as weekends and/or nights/evenings.	38	1.3%
35 hours per week / day	36	1.2%
35hrs	33	1.1%
Unless otherwise indicated, all positions require a five-day workweek.	24	0.8%
DAY, 9-5; ON OCCASION, CANDIDATES WILL BE REQUIRED TO WORK EVENINGS AND/OR ON WEEKENDS TO SUPPORT THE DUTIES OF THE POSITION.	22	0.7%
Monday – Friday, 9am to 5pm.	19	0.6%
35 hours	18	0.6%
35 hours per week.	17	0.6%
Other values (171)	496	16.8%
(Missing)	2062	70.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
hours	513	7.0%
35	488	6.6%
to	374	5.1%
week	287	3.9%
per	278	3.8%
	241	3.3%
be	231	3.1%
day	187	2.5%
the	180	2.4%
work	158	2.1%
Other values (241)	4420	60.1%

Most occurring characters

Value	Count	Frequency (%)
	6591	15.9%
e	3455	8.4%
s	2438	5.9%
o	2243	5.4%
r	2120	5.1%
i	2032	4.9%
a	1919	4.6%
n	1750	4.2%
t	1647	4.0%
u	1308	3.2%
Other values (61)	15835	38.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26836	64.9%
Space Separator	6591	15.9%
Uppercase Letter	4396	10.6%
Decimal Number	1869	4.5%
Other Punctuation	1292	3.1%
Dash Punctuation	298	0.7%
Open Punctuation	25	0.1%
Close Punctuation	25	0.1%
Final Punctuation	4	< 0.1%
Math Symbol	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3455	12.9%
s	2438	9.1%
o	2243	8.4%
r	2120	7.9%
i	2032	7.6%
a	1919	7.2%
n	1750	6.5%
t	1647	6.1%
u	1308	4.9%
d	1260	4.7%
Other values (15)	6664	24.8%

Uppercase Letter

Value	Count	Frequency (%)
D	492	11.2%
E	383	8.7%
H	373	8.5%
O	370	8.4%
T	351	8.0%
S	338	7.7%
N	283	6.4%
I	251	5.7%
P	179	4.1%
A	175	4.0%
Other values (13)	1201	27.3%

Decimal Number

Value	Count	Frequency (%)
5	621	33.2%
3	544	29.1%
0	204	10.9%
4	150	8.0%
7	108	5.8%
2	105	5.6%
9	102	5.5%
1	23	1.2%
8	10	0.5%
6	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
/	543	42.0%
.	323	25.0%
,	270	20.9%
:	91	7.0%
;	47	3.6%
*	18	1.4%

Dash Punctuation

Value	Count	Frequency (%)
-	249	83.6%
–	49	16.4%

Space Separator

Value	Count	Frequency (%)
	6591	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	25	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	25	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	31232	75.6%
Common	10106	24.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3455	11.1%
s	2438	7.8%
o	2243	7.2%
r	2120	6.8%
i	2032	6.5%
a	1919	6.1%
n	1750	5.6%
t	1647	5.3%
u	1308	4.2%
d	1260	4.0%
Other values (38)	11060	35.4%

Common

Value	Count	Frequency (%)
	6591	65.2%
5	621	6.1%
3	544	5.4%
/	543	5.4%
.	323	3.2%
,	270	2.7%
-	249	2.5%
0	204	2.0%
4	150	1.5%
7	108	1.1%
Other values (13)	503	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41285	99.9%
Punctuation	53	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6591	16.0%
e	3455	8.4%
s	2438	5.9%
o	2243	5.4%
r	2120	5.1%
i	2032	4.9%
a	1919	4.6%
n	1750	4.2%
t	1647	4.0%
u	1308	3.2%
Other values (59)	15782	38.2%

Punctuation

Value	Count	Frequency (%)
–	49	92.5%
’	4	7.5%

Residency Requirement
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	50
Distinct (%)	1.7%
Missing	4
Missing (%)	0.1%
Memory size	23.1 KiB

New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	1705
New York City Residency is not required for this position	637
NYCHA has no residency requirements.	222
New York City Residency is not required for this position.	216
This position is exempt from NYC residency requirements.	19
Other values (45)	143

Length

Max length	793
Median length	400
Mean length	259.8140721
Min length	33

Characters and Unicode

Total characters	764373
Distinct characters	67
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.
2nd row	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.
3rd row	NYCHA has no residency requirements.
4th row	NYCHA has no residency requirements.
5th row	NYCHA has no residency requirement.

Common Values

Value	Count	Frequency (%)
New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	1705	57.9%
New York City Residency is not required for this position	637	21.6%
NYCHA has no residency requirements.	222	7.5%
New York City Residency is not required for this position.	216	7.3%
This position is exempt from NYC residency requirements.	19	0.6%
New York City residency is not required for this position.	16	0.5%
Residency in New York City, Nassau, Orange, Rockland, Suffolk, Putnam or Westchester counties required for employees with over two years of city service. New York City residency required within 90 days of hire for all other candidates.	15	0.5%
Residency in New York City, Nassau, Orange, Rockland, Suffolk, Putnam or Westchester counties required for employees with over two years of city service. New York City residency required within 90 days of hiring for all other candidates.	10	0.3%
City Residency is not required for this position	8	0.3%
New York City Residency is not required for this position; however, you must reside in New York State.	7	0.2%
Other values (40)	87	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	6933	5.7%
city	6172	5.1%
to	5199	4.3%
residency	4681	3.9%
for	4433	3.7%
of	3562	2.9%
in	3505	2.9%
york	2725	2.2%
new	2723	2.2%
required	2712	2.2%
Other values (184)	78469	64.8%

Most occurring characters

Value	Count	Frequency (%)
	118277	15.5%
e	91422	12.0%
i	56053	7.3%
t	52952	6.9%
r	43187	5.6%
o	41866	5.5%
s	39555	5.2%
n	38515	5.0%
a	31765	4.2%
y	24795	3.2%
Other values (57)	225986	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	590367	77.2%
Space Separator	118277	15.5%
Uppercase Letter	32341	4.2%
Other Punctuation	18092	2.4%
Decimal Number	5284	0.7%
Dash Punctuation	8	< 0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	91422	15.5%
i	56053	9.5%
t	52952	9.0%
r	43187	7.3%
o	41866	7.1%
s	39555	6.7%
n	38515	6.5%
a	31765	5.4%
y	24795	4.2%
l	19177	3.2%
Other values (16)	151080	25.6%

Uppercase Letter

Value	Count	Frequency (%)
C	8180	25.3%
N	4814	14.9%
Y	3029	9.4%
R	2738	8.5%
H	1991	6.2%
E	1843	5.7%
S	1836	5.7%
T	1834	5.7%
O	1826	5.6%
P	1813	5.6%
Other values (14)	2437	7.5%

Decimal Number

Value	Count	Frequency (%)
0	1777	33.6%
9	1773	33.6%
2	1722	32.6%
8	4	0.1%
1	4	0.1%
3	2	< 0.1%
7	2	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
,	12209	67.5%
.	5790	32.0%
*	68	0.4%
;	11	0.1%
:	8	< 0.1%
/	6	< 0.1%

Space Separator

Value	Count	Frequency (%)
	118277	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	622708	81.5%
Common	141665	18.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	91422	14.7%
i	56053	9.0%
t	52952	8.5%
r	43187	6.9%
o	41866	6.7%
s	39555	6.4%
n	38515	6.2%
a	31765	5.1%
y	24795	4.0%
l	19177	3.1%
Other values (40)	183421	29.5%

Common

Value	Count	Frequency (%)
	118277	83.5%
,	12209	8.6%
.	5790	4.1%
0	1777	1.3%
9	1773	1.3%
2	1722	1.2%
*	68	< 0.1%
;	11	< 0.1%
-	8	< 0.1%
:	8	< 0.1%
Other values (7)	22	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	764373	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	118277	15.5%
e	91422	12.0%
i	56053	7.3%
t	52952	6.9%
r	43187	5.6%
o	41866	5.5%
s	39555	5.2%
n	38515	5.0%
a	31765	4.2%
y	24795	3.2%
Other values (57)	225986	29.6%

Posting Date
Categorical

HIGH CARDINALITY

Distinct	493
Distinct (%)	16.8%
Missing	4
Missing (%)	0.1%
Memory size	23.1 KiB

2019-11-01T00:00:00.000	64
2019-09-30T00:00:00.000	60
2019-11-26T00:00:00.000	58
2019-11-27T00:00:00.000	55
2019-12-10T00:00:00.000	53
Other values (488)	2652

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	67666
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	3.1%

Sample

1st row	2011-06-24T00:00:00.000
2nd row	2012-01-26T00:00:00.000
3rd row	2013-10-24T00:00:00.000
4th row	2013-10-24T00:00:00.000
5th row	2014-01-09T00:00:00.000

Common Values

Value	Count	Frequency (%)
2019-11-01T00:00:00.000	64	2.2%
2019-09-30T00:00:00.000	60	2.0%
2019-11-26T00:00:00.000	58	2.0%
2019-11-27T00:00:00.000	55	1.9%
2019-12-10T00:00:00.000	53	1.8%
2019-12-06T00:00:00.000	52	1.8%
2019-12-13T00:00:00.000	52	1.8%
2019-12-11T00:00:00.000	48	1.6%
2019-10-28T00:00:00.000	45	1.5%
2019-11-22T00:00:00.000	40	1.4%
Other values (483)	2415	82.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2019-11-01t00:00:00.000	64	2.2%
2019-09-30t00:00:00.000	60	2.0%
2019-11-26t00:00:00.000	58	2.0%
2019-11-27t00:00:00.000	55	1.9%
2019-12-10t00:00:00.000	53	1.8%
2019-12-06t00:00:00.000	52	1.8%
2019-12-13t00:00:00.000	52	1.8%
2019-12-11t00:00:00.000	48	1.6%
2019-10-28t00:00:00.000	45	1.5%
2019-11-22t00:00:00.000	40	1.4%
Other values (483)	2415	82.1%

Most occurring characters

Value	Count	Frequency (%)
0	32515	48.1%
1	6352	9.4%
-	5884	8.7%
:	5884	8.7%
2	4747	7.0%
T	2942	4.3%
.	2942	4.3%
9	2769	4.1%
8	913	1.3%
6	642	0.9%
Other values (4)	2076	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50014	73.9%
Other Punctuation	8826	13.0%
Dash Punctuation	5884	8.7%
Uppercase Letter	2942	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32515	65.0%
1	6352	12.7%
2	4747	9.5%
9	2769	5.5%
8	913	1.8%
6	642	1.3%
7	610	1.2%
3	607	1.2%
5	448	0.9%
4	411	0.8%

Other Punctuation

Value	Count	Frequency (%)
:	5884	66.7%
.	2942	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	5884	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	2942	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64724	95.7%
Latin	2942	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32515	50.2%
1	6352	9.8%
-	5884	9.1%
:	5884	9.1%
2	4747	7.3%
.	2942	4.5%
9	2769	4.3%
8	913	1.4%
6	642	1.0%
7	610	0.9%
Other values (3)	1466	2.3%

Latin

Value	Count	Frequency (%)
T	2942	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	67666	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32515	48.1%
1	6352	9.4%
-	5884	8.7%
:	5884	8.7%
2	4747	7.0%
T	2942	4.3%
.	2942	4.3%
9	2769	4.1%
8	913	1.3%
6	642	0.9%
Other values (4)	2076	3.1%

Posting Updated
Categorical

HIGH CARDINALITY

Distinct	487
Distinct (%)	16.6%
Missing	4
Missing (%)	0.1%
Memory size	23.1 KiB

2019-12-13T00:00:00.000	82
2019-12-16T00:00:00.000	72
2019-12-11T00:00:00.000	68
2019-11-27T00:00:00.000	67
2019-12-10T00:00:00.000	66
Other values (482)	2587

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	67666
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	81 ?
Unique (%)	2.8%

Sample

1st row	2011-06-24T00:00:00.000
2nd row	2012-01-26T00:00:00.000
3rd row	2013-12-12T00:00:00.000
4th row	2013-12-12T00:00:00.000
5th row	2014-01-08T00:00:00.000

Common Values

Value	Count	Frequency (%)
2019-12-13T00:00:00.000	82	2.8%
2019-12-16T00:00:00.000	72	2.4%
2019-12-11T00:00:00.000	68	2.3%
2019-11-27T00:00:00.000	67	2.3%
2019-12-10T00:00:00.000	66	2.2%
2019-11-26T00:00:00.000	66	2.2%
2019-12-12T00:00:00.000	62	2.1%
2019-12-05T00:00:00.000	56	1.9%
2019-12-06T00:00:00.000	47	1.6%
2019-11-04T00:00:00.000	45	1.5%
Other values (477)	2311	78.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2019-12-13t00:00:00.000	82	2.8%
2019-12-16t00:00:00.000	72	2.4%
2019-12-11t00:00:00.000	68	2.3%
2019-11-27t00:00:00.000	67	2.3%
2019-12-10t00:00:00.000	66	2.2%
2019-11-26t00:00:00.000	66	2.2%
2019-12-12t00:00:00.000	62	2.1%
2019-12-05t00:00:00.000	56	1.9%
2019-12-06t00:00:00.000	47	1.6%
2019-11-04t00:00:00.000	45	1.5%
Other values (477)	2311	78.6%

Most occurring characters

Value	Count	Frequency (%)
0	32279	47.7%
1	6680	9.9%
-	5884	8.7%
:	5884	8.7%
2	4878	7.2%
T	2942	4.3%
.	2942	4.3%
9	2782	4.1%
8	817	1.2%
6	632	0.9%
Other values (4)	1946	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50014	73.9%
Other Punctuation	8826	13.0%
Dash Punctuation	5884	8.7%
Uppercase Letter	2942	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32279	64.5%
1	6680	13.4%
2	4878	9.8%
9	2782	5.6%
8	817	1.6%
6	632	1.3%
7	559	1.1%
3	520	1.0%
5	476	1.0%
4	391	0.8%

Other Punctuation

Value	Count	Frequency (%)
:	5884	66.7%
.	2942	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	5884	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	2942	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64724	95.7%
Latin	2942	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32279	49.9%
1	6680	10.3%
-	5884	9.1%
:	5884	9.1%
2	4878	7.5%
.	2942	4.5%
9	2782	4.3%
8	817	1.3%
6	632	1.0%
7	559	0.9%
Other values (3)	1387	2.1%

Latin

Value	Count	Frequency (%)
T	2942	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	67666	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32279	47.7%
1	6680	9.9%
-	5884	8.7%
:	5884	8.7%
2	4878	7.2%
T	2942	4.3%
.	2942	4.3%
9	2782	4.1%
8	817	1.2%
6	632	0.9%
Other values (4)	1946	2.9%

Process Date
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	4
Missing (%)	0.1%
Memory size	23.1 KiB

2019-12-17T00:00:00.000	2942

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	67666
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2019-12-17T00:00:00.000
2nd row	2019-12-17T00:00:00.000
3rd row	2019-12-17T00:00:00.000
4th row	2019-12-17T00:00:00.000
5th row	2019-12-17T00:00:00.000

Common Values

Value	Count	Frequency (%)
2019-12-17T00:00:00.000	2942	99.9%
(Missing)	4	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2019-12-17t00:00:00.000	2942	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	29420	43.5%
1	8826	13.0%
2	5884	8.7%
-	5884	8.7%
:	5884	8.7%
9	2942	4.3%
7	2942	4.3%
T	2942	4.3%
.	2942	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50014	73.9%
Other Punctuation	8826	13.0%
Dash Punctuation	5884	8.7%
Uppercase Letter	2942	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29420	58.8%
1	8826	17.6%
2	5884	11.8%
9	2942	5.9%
7	2942	5.9%

Other Punctuation

Value	Count	Frequency (%)
:	5884	66.7%
.	2942	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	5884	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	2942	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64724	95.7%
Latin	2942	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29420	45.5%
1	8826	13.6%
2	5884	9.1%
-	5884	9.1%
:	5884	9.1%
9	2942	4.5%
7	2942	4.5%
.	2942	4.5%

Latin

Value	Count	Frequency (%)
T	2942	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	67666	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29420	43.5%
1	8826	13.0%
2	5884	8.7%
-	5884	8.7%
:	5884	8.7%
9	2942	4.3%
7	2942	4.3%
T	2942	4.3%
.	2942	4.3%

FormalEducation
Categorical

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.3%
Missing	52
Missing (%)	1.8%
Memory size	23.1 KiB

Bachelor�s degree (BA, BS, B.Eng., etc.)	1442
Master�s degree (MA, MS, M.Eng., MBA, etc.)	716
Some college/university study without earning a degree	319
Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.)	179
Associate degree	92
Other values (4)	146

Length

Max length	82
Median length	40
Mean length	43.96129924
Min length	16

Characters and Unicode

Total characters	127224
Distinct characters	39
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bachelor�s degree (BA, BS, B.Eng., etc.)
2nd row	Bachelor�s degree (BA, BS, B.Eng., etc.)
3rd row	Associate degree
4th row	Bachelor�s degree (BA, BS, B.Eng., etc.)
5th row	Some college/university study without earning a degree

Common Values

Value	Count	Frequency (%)
Bachelor�s degree (BA, BS, B.Eng., etc.)	1442	48.9%
Master�s degree (MA, MS, M.Eng., MBA, etc.)	716	24.3%
Some college/university study without earning a degree	319	10.8%
Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.)	179	6.1%
Associate degree	92	3.1%
Other doctoral degree (Ph.D, Ed.D., etc.)	75	2.5%
Professional degree (JD, MD, etc.)	43	1.5%
Primary/elementary school	17	0.6%
I never completed any formal education	11	0.4%
(Missing)	52	1.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
degree	2687	14.3%
etc	2455	13.0%
ba	1442	7.7%
b.eng	1442	7.7%
bachelor�s	1442	7.7%
bs	1442	7.7%
ma	716	3.8%
mba	716	3.8%
ms	716	3.8%
m.eng	716	3.8%
Other values (31)	5041	26.8%

Most occurring characters

Value	Count	Frequency (%)
	15921	12.5%
e	15659	12.3%
,	7784	6.1%
.	7354	5.8%
B	6484	5.1%
r	6465	5.1%
g	5841	4.6%
c	5317	4.2%
t	4728	3.7%
s	4515	3.5%
Other values (29)	47156	37.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	69583	54.7%
Uppercase Letter	19178	15.1%
Space Separator	15921	12.5%
Other Punctuation	15474	12.2%
Open Punctuation	2455	1.9%
Close Punctuation	2455	1.9%
Other Symbol	2158	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	15659	22.5%
r	6465	9.3%
g	5841	8.4%
c	5317	7.6%
t	4728	6.8%
s	4515	6.5%
a	3968	5.7%
n	3924	5.6%
o	3868	5.6%
d	3357	4.8%
Other values (10)	11941	17.2%

Uppercase Letter

Value	Count	Frequency (%)
B	6484	33.8%
M	3623	18.9%
A	3145	16.4%
S	2656	13.8%
E	2233	11.6%
G	358	1.9%
D	236	1.2%
R	179	0.9%
P	135	0.7%
O	75	0.4%
Other values (2)	54	0.3%

Other Punctuation

Value	Count	Frequency (%)
,	7784	50.3%
.	7354	47.5%
/	336	2.2%

Other Symbol

Value	Count	Frequency (%)
�	2158	100.0%

Space Separator

Value	Count	Frequency (%)
	15921	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2455	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2455	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	88761	69.8%
Common	38463	30.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	15659	17.6%
B	6484	7.3%
r	6465	7.3%
g	5841	6.6%
c	5317	6.0%
t	4728	5.3%
s	4515	5.1%
a	3968	4.5%
n	3924	4.4%
o	3868	4.4%
Other values (22)	27992	31.5%

Common

Value	Count	Frequency (%)
	15921	41.4%
,	7784	20.2%
.	7354	19.1%
(	2455	6.4%
)	2455	6.4%
�	2158	5.6%
/	336	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	125066	98.3%
Specials	2158	1.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	15921	12.7%
e	15659	12.5%
,	7784	6.2%
.	7354	5.9%
B	6484	5.2%
r	6465	5.2%
g	5841	4.7%
c	5317	4.3%
t	4728	3.8%
s	4515	3.6%
Other values (28)	44998	36.0%

Specials

Value	Count	Frequency (%)
�	2158	100.0%

UndergradMajor
Categorical

HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	0.5%
Missing	322
Missing (%)	10.9%
Memory size	23.1 KiB

Computer science, computer engineering, or software engineering	1698
Information systems, information technology, or system administration	247
Another engineering discipline (ex. civil, electrical, mechanical)	205
A natural science (ex. biology, chemistry, physics)	109
Mathematics or statistics	86
Other values (7)	279

Length

Max length	69
Median length	63
Mean length	60.82583841
Min length	24

Characters and Unicode

Total characters	159607
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mathematics or statistics
2nd row	A natural science (ex. biology, chemistry, physics)
3rd row	Computer science, computer engineering, or software engineering
4th row	Computer science, computer engineering, or software engineering
5th row	Computer science, computer engineering, or software engineering

Common Values

Value	Count	Frequency (%)
Computer science, computer engineering, or software engineering	1698	57.6%
Information systems, information technology, or system administration	247	8.4%
Another engineering discipline (ex. civil, electrical, mechanical)	205	7.0%
A natural science (ex. biology, chemistry, physics)	109	3.7%
Mathematics or statistics	86	2.9%
A business discipline (ex. accounting, finance, marketing)	65	2.2%
Web development or web design	64	2.2%
A humanities discipline (ex. literature, history, philosophy)	48	1.6%
Fine arts or performing arts (ex. graphic design, music, studio art)	38	1.3%
A social science (ex. anthropology, psychology, political science)	38	1.3%
Other values (2)	26	0.9%
(Missing)	322	10.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
engineering	3601	20.0%
computer	3396	18.8%
or	2133	11.8%
science	1886	10.5%
software	1698	9.4%
ex	506	2.8%
information	494	2.7%
discipline	318	1.8%
a	286	1.6%
systems	247	1.4%
Other values (43)	3475	19.3%

Most occurring characters

Value	Count	Frequency (%)
e	23181	14.5%
n	16002	10.0%
	15416	9.7%
i	13841	8.7%
r	12750	8.0%
o	10023	6.3%
t	8498	5.3%
g	7948	5.0%
c	7861	4.9%
s	6727	4.2%
Other values (25)	37360	23.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	135147	84.7%
Space Separator	15416	9.7%
Other Punctuation	5408	3.4%
Uppercase Letter	2624	1.6%
Open Punctuation	506	0.3%
Close Punctuation	506	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	23181	17.2%
n	16002	11.8%
i	13841	10.2%
r	12750	9.4%
o	10023	7.4%
t	8498	6.3%
g	7948	5.9%
c	7861	5.8%
s	6727	5.0%
m	5310	3.9%
Other values (14)	23006	17.0%

Uppercase Letter

Value	Count	Frequency (%)
C	1698	64.7%
A	468	17.8%
I	270	10.3%
M	86	3.3%
W	64	2.4%
F	38	1.4%

Other Punctuation

Value	Count	Frequency (%)
,	4902	90.6%
.	506	9.4%

Space Separator

Value	Count	Frequency (%)
	15416	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	506	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	506	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	137771	86.3%
Common	21836	13.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	23181	16.8%
n	16002	11.6%
i	13841	10.0%
r	12750	9.3%
o	10023	7.3%
t	8498	6.2%
g	7948	5.8%
c	7861	5.7%
s	6727	4.9%
m	5310	3.9%
Other values (20)	25630	18.6%

Common

Value	Count	Frequency (%)
	15416	70.6%
,	4902	22.4%
(	506	2.3%
.	506	2.3%
)	506	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	159607	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	23181	14.5%
n	16002	10.0%
	15416	9.7%
i	13841	8.7%
r	12750	8.0%
o	10023	6.3%
t	8498	5.3%
g	7948	5.0%
c	7861	4.9%
s	6727	4.2%
Other values (25)	37360	23.4%

CompanySize
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

20 to 99 employees	719
100 to 499 employees	580
10,000 or more employees	387
10 to 19 employees	329
1,000 to 4,999 employees	316
Other values (3)	615

Length

Max length	24
Median length	20
Mean length	20.69653768
Min length	18

Characters and Unicode

Total characters	60972
Distinct characters	22
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20 to 99 employees
2nd row	10,000 or more employees
3rd row	20 to 99 employees
4th row	100 to 499 employees
5th row	10,000 or more employees

Common Values

Value	Count	Frequency (%)
20 to 99 employees	719	24.4%
100 to 499 employees	580	19.7%
10,000 or more employees	387	13.1%
10 to 19 employees	329	11.2%
1,000 to 4,999 employees	316	10.7%
Fewer than 10 employees	304	10.3%
500 to 999 employees	205	7.0%
5,000 to 9,999 employees	106	3.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
employees	2946	25.0%
to	2255	19.1%
20	719	6.1%
99	719	6.1%
10	633	5.4%
100	580	4.9%
499	580	4.9%
or	387	3.3%
more	387	3.3%
10,000	387	3.3%
Other values (9)	2191	18.6%

Most occurring characters

Value	Count	Frequency (%)
e	9833	16.1%
	8838	14.5%
o	5975	9.8%
0	5736	9.4%
9	4914	8.1%
m	3333	5.5%
p	2946	4.8%
l	2946	4.8%
y	2946	4.8%
s	2946	4.8%
Other values (12)	10559	17.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	35778	58.7%
Decimal Number	14821	24.3%
Space Separator	8838	14.5%
Other Punctuation	1231	2.0%
Uppercase Letter	304	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9833	27.5%
o	5975	16.7%
m	3333	9.3%
p	2946	8.2%
l	2946	8.2%
y	2946	8.2%
s	2946	8.2%
t	2559	7.2%
r	1078	3.0%
w	304	0.8%
Other values (3)	912	2.5%

Decimal Number

Value	Count	Frequency (%)
0	5736	38.7%
9	4914	33.2%
1	2245	15.1%
4	896	6.0%
2	719	4.9%
5	311	2.1%

Space Separator

Value	Count	Frequency (%)
	8838	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	1231	100.0%

Uppercase Letter

Value	Count	Frequency (%)
F	304	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36082	59.2%
Common	24890	40.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9833	27.3%
o	5975	16.6%
m	3333	9.2%
p	2946	8.2%
l	2946	8.2%
y	2946	8.2%
s	2946	8.2%
t	2559	7.1%
r	1078	3.0%
F	304	0.8%
Other values (4)	1216	3.4%

Common

Value	Count	Frequency (%)
	8838	35.5%
0	5736	23.0%
9	4914	19.7%
1	2245	9.0%
,	1231	4.9%
4	896	3.6%
2	719	2.9%
5	311	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60972	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	9833	16.1%
	8838	14.5%
o	5975	9.8%
0	5736	9.4%
9	4914	8.1%
m	3333	5.5%
p	2946	4.8%
l	2946	4.8%
y	2946	4.8%
s	2946	4.8%
Other values (12)	10559	17.3%

DevType
Categorical

HIGH CARDINALITY
MISSING

Distinct	810
Distinct (%)	27.9%
Missing	45
Missing (%)	1.5%
Memory size	23.1 KiB

Full-stack developer	225
Back-end developer	219
Back-end developer;Front-end developer;Full-stack developer	180
Mobile developer	141
Back-end developer;Full-stack developer	120
Other values (805)	2016

Length

Max length	497
Median length	53
Mean length	61.74077904
Min length	7

Characters and Unicode

Total characters	179110
Distinct characters	42
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	579 ?
Unique (%)	20.0%

Sample

1st row	Full-stack developer
2nd row	Database administrator;DevOps specialist;Full-stack developer;System administrator
3rd row	Engineering manager;Full-stack developer
4th row	Full-stack developer
5th row	Data or business analyst;Desktop or enterprise applications developer;Game or graphics developer;QA or test developer;Student

Common Values

Value	Count	Frequency (%)
Full-stack developer	225	7.6%
Back-end developer	219	7.4%
Back-end developer;Front-end developer;Full-stack developer	180	6.1%
Mobile developer	141	4.8%
Back-end developer;Full-stack developer	120	4.1%
Front-end developer	110	3.7%
Back-end developer;Front-end developer	38	1.3%
Front-end developer;Full-stack developer	37	1.3%
Back-end developer;Front-end developer;Full-stack developer;Mobile developer	36	1.2%
Back-end developer;Desktop or enterprise applications developer;Front-end developer;Full-stack developer	35	1.2%
Other values (800)	1760	59.7%
(Missing)	45	1.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
developer	2045	13.8%
back-end	1701	11.5%
or	1459	9.9%
developer;full-stack	992	6.7%
applications	628	4.3%
developer;front-end	533	3.6%
enterprise	476	3.2%
developer;mobile	339	2.3%
administrator	329	2.2%
full-stack	264	1.8%
Other values (165)	6001	40.6%

Most occurring characters

Value	Count	Frequency (%)
e	27936	15.6%
r	12279	6.9%
	11866	6.6%
o	10870	6.1%
l	10803	6.0%
a	10656	5.9%
d	10350	5.8%
t	9226	5.2%
p	8868	5.0%
n	8449	4.7%
Other values (32)	57807	32.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	148085	82.7%
Space Separator	11866	6.6%
Uppercase Letter	9139	5.1%
Other Punctuation	5523	3.1%
Dash Punctuation	4345	2.4%
Open Punctuation	76	< 0.1%
Close Punctuation	76	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	27936	18.9%
r	12279	8.3%
o	10870	7.3%
l	10803	7.3%
a	10656	7.2%
d	10350	7.0%
t	9226	6.2%
p	8868	6.0%
n	8449	5.7%
s	8235	5.6%
Other values (12)	30413	20.5%

Uppercase Letter

Value	Count	Frequency (%)
F	2568	28.1%
D	1974	21.6%
B	1701	18.6%
M	551	6.0%
S	529	5.8%
E	485	5.3%
O	466	5.1%
C	228	2.5%
Q	173	1.9%
A	173	1.9%
Other values (3)	291	3.2%

Other Punctuation

Value	Count	Frequency (%)
;	5295	95.9%
,	152	2.8%
.	76	1.4%

Dash Punctuation

Value	Count	Frequency (%)
-	4345	100.0%

Space Separator

Value	Count	Frequency (%)
	11866	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	76	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	76	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	157224	87.8%
Common	21886	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	27936	17.8%
r	12279	7.8%
o	10870	6.9%
l	10803	6.9%
a	10656	6.8%
d	10350	6.6%
t	9226	5.9%
p	8868	5.6%
n	8449	5.4%
s	8235	5.2%
Other values (25)	39552	25.2%

Common

Value	Count	Frequency (%)
	11866	54.2%
;	5295	24.2%
-	4345	19.9%
,	152	0.7%
(	76	0.3%
.	76	0.3%
)	76	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	179110	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	27936	15.6%
r	12279	6.9%
	11866	6.6%
o	10870	6.1%
l	10803	6.0%
a	10656	5.9%
d	10350	5.8%
t	9226	5.2%
p	8868	5.0%
n	8449	4.7%
Other values (32)	57807	32.3%

YearsCoding
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	0.4%
Missing	3
Missing (%)	0.1%
Memory size	23.1 KiB

3-5 years	699
6-8 years	630
9-11 years	443
12-14 years	277
0-2 years	248
Other values (6)	646

Length

Max length	16
Median length	9
Mean length	9.935779817
Min length	9

Characters and Unicode

Total characters	29241
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3-5 years
2nd row	30 or more years
3rd row	24-26 years
4th row	18-20 years
5th row	6-8 years

Common Values

Value	Count	Frequency (%)
3-5 years	699	23.7%
6-8 years	630	21.4%
9-11 years	443	15.0%
12-14 years	277	9.4%
0-2 years	248	8.4%
15-17 years	205	7.0%
18-20 years	179	6.1%
30 or more years	93	3.2%
21-23 years	82	2.8%
24-26 years	54	1.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
years	2943	48.5%
3-5	699	11.5%
6-8	630	10.4%
9-11	443	7.3%
12-14	277	4.6%
0-2	248	4.1%
15-17	205	3.4%
18-20	179	2.9%
more	93	1.5%
or	93	1.5%
Other values (4)	262	4.3%

Most occurring characters

Value	Count	Frequency (%)
	3129	10.7%
r	3129	10.7%
e	3036	10.4%
y	2943	10.1%
a	2943	10.1%
s	2943	10.1%
-	2850	9.7%
1	2111	7.2%
2	1042	3.6%
5	904	3.1%
Other values (9)	4211	14.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15273	52.2%
Decimal Number	7989	27.3%
Space Separator	3129	10.7%
Dash Punctuation	2850	9.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2111	26.4%
2	1042	13.0%
5	904	11.3%
3	874	10.9%
8	809	10.1%
6	684	8.6%
0	520	6.5%
9	476	6.0%
4	331	4.1%
7	238	3.0%

Lowercase Letter

Value	Count	Frequency (%)
r	3129	20.5%
e	3036	19.9%
y	2943	19.3%
a	2943	19.3%
s	2943	19.3%
o	186	1.2%
m	93	0.6%

Dash Punctuation

Value	Count	Frequency (%)
-	2850	100.0%

Space Separator

Value	Count	Frequency (%)
	3129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15273	52.2%
Common	13968	47.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
	3129	22.4%
-	2850	20.4%
1	2111	15.1%
2	1042	7.5%
5	904	6.5%
3	874	6.3%
8	809	5.8%
6	684	4.9%
0	520	3.7%
9	476	3.4%
Other values (2)	569	4.1%

Latin

Value	Count	Frequency (%)
r	3129	20.5%
e	3036	19.9%
y	2943	19.3%
a	2943	19.3%
s	2943	19.3%
o	186	1.2%
m	93	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29241	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3129	10.7%
r	3129	10.7%
e	3036	10.4%
y	2943	10.1%
a	2943	10.1%
s	2943	10.1%
-	2850	9.7%
1	2111	7.2%
2	1042	3.6%
5	904	3.1%
Other values (9)	4211	14.4%

YearsCodingProf
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	0.4%
Missing	408
Missing (%)	13.8%
Memory size	23.1 KiB

3-5 years	791
0-2 years	653
6-8 years	401
9-11 years	249
12-14 years	139
Other values (6)	305

Length

Max length	16
Median length	9
Mean length	9.52285264
Min length	9

Characters and Unicode

Total characters	24169
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3-5 years
2nd row	18-20 years
3rd row	6-8 years
4th row	12-14 years
5th row	0-2 years

Common Values

Value	Count	Frequency (%)
3-5 years	791	26.8%
0-2 years	653	22.2%
6-8 years	401	13.6%
9-11 years	249	8.5%
12-14 years	139	4.7%
15-17 years	103	3.5%
18-20 years	89	3.0%
21-23 years	42	1.4%
30 or more years	38	1.3%
24-26 years	23	0.8%
(Missing)	408	13.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
years	2538	49.3%
3-5	791	15.4%
0-2	653	12.7%
6-8	401	7.8%
9-11	249	4.8%
12-14	139	2.7%
15-17	103	2.0%
18-20	89	1.7%
21-23	42	0.8%
more	38	0.7%
Other values (4)	109	2.1%

Most occurring characters

Value	Count	Frequency (%)
	2614	10.8%
r	2614	10.8%
e	2576	10.7%
y	2538	10.5%
a	2538	10.5%
s	2538	10.5%
-	2500	10.3%
1	1113	4.6%
2	1031	4.3%
5	894	3.7%
Other values (9)	3213	13.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12918	53.4%
Decimal Number	6137	25.4%
Space Separator	2614	10.8%
Dash Punctuation	2500	10.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1113	18.1%
2	1031	16.8%
5	894	14.6%
3	871	14.2%
0	780	12.7%
8	490	8.0%
6	424	6.9%
9	259	4.2%
4	162	2.6%
7	113	1.8%

Lowercase Letter

Value	Count	Frequency (%)
r	2614	20.2%
e	2576	19.9%
y	2538	19.6%
a	2538	19.6%
s	2538	19.6%
o	76	0.6%
m	38	0.3%

Dash Punctuation

Value	Count	Frequency (%)
-	2500	100.0%

Space Separator

Value	Count	Frequency (%)
	2614	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12918	53.4%
Common	11251	46.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
	2614	23.2%
-	2500	22.2%
1	1113	9.9%
2	1031	9.2%
5	894	7.9%
3	871	7.7%
0	780	6.9%
8	490	4.4%
6	424	3.8%
9	259	2.3%
Other values (2)	275	2.4%

Latin

Value	Count	Frequency (%)
r	2614	20.2%
e	2576	19.9%
y	2538	19.6%
a	2538	19.6%
s	2538	19.6%
o	76	0.6%
m	38	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24169	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2614	10.8%
r	2614	10.8%
e	2576	10.7%
y	2538	10.5%
a	2538	10.5%
s	2538	10.5%
-	2500	10.3%
1	1113	4.6%
2	1031	4.3%
5	894	3.7%
Other values (9)	3213	13.3%

HopeFiveYears
Categorical

HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	0.3%
Missing	469
Missing (%)	15.9%
Memory size	23.1 KiB

Working in a different or more specialized technical role than the one I'm in now	872
Working as a founder or co-founder of my own company	599
Doing the same work	496
Working as an engineering manager or other functional manager	251
Working as a product manager or project manager	164
Other values (2)	95

Length

Max length	81
Median length	52
Mean length	55.87928946
Min length	10

Characters and Unicode

Total characters	138413
Distinct characters	30
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Working as a founder or co-founder of my own company
2nd row	Working in a different or more specialized technical role than the one I'm in now
3rd row	Working as a founder or co-founder of my own company
4th row	Working as a founder or co-founder of my own company
5th row	Working in a different or more specialized technical role than the one I'm in now

Common Values

Value	Count	Frequency (%)
Working in a different or more specialized technical role than the one I'm in now	872	29.6%
Working as a founder or co-founder of my own company	599	20.3%
Doing the same work	496	16.8%
Working as an engineering manager or other functional manager	251	8.5%
Working as a product manager or project manager	164	5.6%
Working in a career completely unrelated to software development	60	2.0%
Retirement	35	1.2%
(Missing)	469	15.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
working	1946	7.7%
or	1886	7.5%
in	1804	7.2%
a	1695	6.7%
the	1368	5.4%
as	1014	4.0%
one	872	3.5%
technical	872	3.5%
i'm	872	3.5%
now	872	3.5%
Other values (28)	11999	47.6%

Most occurring characters

Value	Count	Frequency (%)
	22723	16.4%
n	13493	9.7%
o	12976	9.4%
e	12741	9.2%
r	10077	7.3%
a	8762	6.3%
i	8522	6.2%
t	5184	3.7%
c	4513	3.3%
m	4423	3.2%
Other values (20)	34999	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	110870	80.1%
Space Separator	22723	16.4%
Uppercase Letter	3349	2.4%
Other Punctuation	872	0.6%
Dash Punctuation	599	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	13493	12.2%
o	12976	11.7%
e	12741	11.5%
r	10077	9.1%
a	8762	7.9%
i	8522	7.7%
t	5184	4.7%
c	4513	4.1%
m	4423	4.0%
f	3852	3.5%
Other values (13)	26327	23.7%

Uppercase Letter

Value	Count	Frequency (%)
W	1946	58.1%
I	872	26.0%
D	496	14.8%
R	35	1.0%

Space Separator

Value	Count	Frequency (%)
	22723	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	599	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	872	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	114219	82.5%
Common	24194	17.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	13493	11.8%
o	12976	11.4%
e	12741	11.2%
r	10077	8.8%
a	8762	7.7%
i	8522	7.5%
t	5184	4.5%
c	4513	4.0%
m	4423	3.9%
f	3852	3.4%
Other values (17)	29676	26.0%

Common

Value	Count	Frequency (%)
	22723	93.9%
'	872	3.6%
-	599	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	138413	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22723	16.4%
n	13493	9.7%
o	12976	9.4%
e	12741	9.2%
r	10077	7.3%
a	8762	6.3%
i	8522	6.2%
t	5184	3.7%
c	4513	3.3%
m	4423	3.2%
Other values (20)	34999	25.3%

JobSearchStatus
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.1%
Missing	435
Missing (%)	14.8%
Memory size	23.1 KiB

I�m not actively looking, but I am open to new opportunities	1542
I am not interested in new job opportunities	645
I am actively looking for a job	324

Length

Max length	60
Median length	60
Mean length	52.14814815
Min length	31

Characters and Unicode

Total characters	130944
Distinct characters	26
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	I�m not actively looking, but I am open to new opportunities
2nd row	I am actively looking for a job
3rd row	I�m not actively looking, but I am open to new opportunities
4th row	I�m not actively looking, but I am open to new opportunities
5th row	I�m not actively looking, but I am open to new opportunities

Common Values

Value	Count	Frequency (%)
I�m not actively looking, but I am open to new opportunities	1542	52.3%
I am not interested in new job opportunities	645	21.9%
I am actively looking for a job	324	11.0%
(Missing)	435	14.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
am	2511	10.3%
i	2511	10.3%
opportunities	2187	9.0%
not	2187	9.0%
new	2187	9.0%
actively	1866	7.7%
looking	1866	7.7%
i�m	1542	6.3%
open	1542	6.3%
to	1542	6.3%
Other values (6)	4449	18.2%

Most occurring characters

Value	Count	Frequency (%)
	21879	16.7%
o	14670	11.2%
t	12801	9.8%
n	11259	8.6%
e	9717	7.4%
i	9396	7.2%
p	5916	4.5%
a	4701	3.6%
I	4053	3.1%
m	4053	3.1%
Other values (16)	32499	24.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	101928	77.8%
Space Separator	21879	16.7%
Uppercase Letter	4053	3.1%
Other Symbol	1542	1.2%
Other Punctuation	1542	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	14670	14.4%
t	12801	12.6%
n	11259	11.0%
e	9717	9.5%
i	9396	9.2%
p	5916	5.8%
a	4701	4.6%
m	4053	4.0%
l	3732	3.7%
u	3729	3.7%
Other values (12)	21954	21.5%

Uppercase Letter

Value	Count	Frequency (%)
I	4053	100.0%

Other Symbol

Value	Count	Frequency (%)
�	1542	100.0%

Space Separator

Value	Count	Frequency (%)
	21879	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	1542	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	105981	80.9%
Common	24963	19.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	14670	13.8%
t	12801	12.1%
n	11259	10.6%
e	9717	9.2%
i	9396	8.9%
p	5916	5.6%
a	4701	4.4%
I	4053	3.8%
m	4053	3.8%
l	3732	3.5%
Other values (13)	25683	24.2%

Common

Value	Count	Frequency (%)
	21879	87.6%
�	1542	6.2%
,	1542	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	129402	98.8%
Specials	1542	1.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	21879	16.9%
o	14670	11.3%
t	12801	9.9%
n	11259	8.7%
e	9717	7.5%
i	9396	7.3%
p	5916	4.6%
a	4701	3.6%
I	4053	3.1%
m	4053	3.1%
Other values (15)	30957	23.9%

Specials

Value	Count	Frequency (%)
�	1542	100.0%

LastNewJob
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.2%
Missing	447
Missing (%)	15.2%
Memory size	23.1 KiB

Less than a year ago	895
Between 1 and 2 years ago	585
Between 2 and 4 years ago	528
More than 4 years ago	488
I've never had a job	3

Length

Max length	25
Median length	21
Mean length	22.42216887
Min length	20

Characters and Unicode

Total characters	56033
Distinct characters	24
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Less than a year ago
2nd row	More than 4 years ago
3rd row	Less than a year ago
4th row	Less than a year ago
5th row	Between 1 and 2 years ago

Common Values

Value	Count	Frequency (%)
Less than a year ago	895	30.4%
Between 1 and 2 years ago	585	19.9%
Between 2 and 4 years ago	528	17.9%
More than 4 years ago	488	16.6%
I've never had a job	3	0.1%
(Missing)	447	15.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ago	2496	18.3%
years	1601	11.8%
than	1383	10.2%
and	1113	8.2%
between	1113	8.2%
2	1113	8.2%
4	1016	7.5%
a	898	6.6%
year	895	6.6%
less	895	6.6%
Other values (6)	1085	8.0%

Most occurring characters

Value	Count	Frequency (%)
	11109	19.8%
a	8389	15.0%
e	7227	12.9%
n	3612	6.4%
s	3391	6.1%
r	2987	5.3%
o	2987	5.3%
t	2496	4.5%
y	2496	4.5%
g	2496	4.5%
Other values (14)	8843	15.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39708	70.9%
Space Separator	11109	19.8%
Decimal Number	2714	4.8%
Uppercase Letter	2499	4.5%
Other Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	8389	21.1%
e	7227	18.2%
n	3612	9.1%
s	3391	8.5%
r	2987	7.5%
o	2987	7.5%
t	2496	6.3%
y	2496	6.3%
g	2496	6.3%
h	1386	3.5%
Other values (5)	2241	5.6%

Uppercase Letter

Value	Count	Frequency (%)
B	1113	44.5%
L	895	35.8%
M	488	19.5%
I	3	0.1%

Decimal Number

Value	Count	Frequency (%)
2	1113	41.0%
4	1016	37.4%
1	585	21.6%

Space Separator

Value	Count	Frequency (%)
	11109	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42207	75.3%
Common	13826	24.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	8389	19.9%
e	7227	17.1%
n	3612	8.6%
s	3391	8.0%
r	2987	7.1%
o	2987	7.1%
t	2496	5.9%
y	2496	5.9%
g	2496	5.9%
h	1386	3.3%
Other values (9)	4740	11.2%

Common

Value	Count	Frequency (%)
	11109	80.3%
2	1113	8.1%
4	1016	7.3%
1	585	4.2%
'	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	11109	19.8%
a	8389	15.0%
e	7227	12.9%
n	3612	6.4%
s	3391	6.1%
r	2987	5.3%
o	2987	5.3%
t	2496	4.5%
y	2496	4.5%
g	2496	4.5%
Other values (14)	8843	15.8%

UpdateCV
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	0.4%
Missing	857
Missing (%)	29.1%
Memory size	23.1 KiB

My job status or other personal status changed	825
A recruiter contacted me	300
I had a negative experience or interaction at work	283
A friend told me about a job opportunity	225
I saw an employer�s advertisement	191
Other values (3)	265

Length

Max length	64
Median length	46
Mean length	42.92819531
Min length	24

Characters and Unicode

Total characters	89677
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	My job status or other personal status changed
2nd row	I saw an employer�s advertisement
3rd row	A recruiter contacted me
4th row	My job status or other personal status changed
5th row	I did not receive an expected change in compensation

Common Values

Value	Count	Frequency (%)
My job status or other personal status changed	825	28.0%
A recruiter contacted me	300	10.2%
I had a negative experience or interaction at work	283	9.6%
A friend told me about a job opportunity	225	7.6%
I saw an employer�s advertisement	191	6.5%
I did not receive an expected change in compensation	149	5.1%
I received bad news about the future of my company or department	109	3.7%
I received negative feedback on my job performance	7	0.2%
(Missing)	857	29.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
status	1650	10.4%
or	1217	7.7%
job	1057	6.7%
a	1033	6.5%
my	941	6.0%
other	825	5.2%
personal	825	5.2%
changed	825	5.2%
i	739	4.7%
me	525	3.3%
Other values (34)	6170	39.0%

Most occurring characters

Value	Count	Frequency (%)
	13718	15.3%
e	9188	10.2%
t	8438	9.4%
a	6942	7.7%
o	6669	7.4%
r	5945	6.6%
n	5156	5.7%
s	4956	5.5%
c	3126	3.5%
d	2837	3.2%
Other values (19)	22702	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	73679	82.2%
Space Separator	13718	15.3%
Uppercase Letter	2089	2.3%
Other Symbol	191	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9188	12.5%
t	8438	11.5%
a	6942	9.4%
o	6669	9.1%
r	5945	8.1%
n	5156	7.0%
s	4956	6.7%
c	3126	4.2%
d	2837	3.9%
i	2792	3.8%
Other values (14)	17630	23.9%

Uppercase Letter

Value	Count	Frequency (%)
M	825	39.5%
I	739	35.4%
A	525	25.1%

Space Separator

Value	Count	Frequency (%)
	13718	100.0%

Other Symbol

Value	Count	Frequency (%)
�	191	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	75768	84.5%
Common	13909	15.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9188	12.1%
t	8438	11.1%
a	6942	9.2%
o	6669	8.8%
r	5945	7.8%
n	5156	6.8%
s	4956	6.5%
c	3126	4.1%
d	2837	3.7%
i	2792	3.7%
Other values (17)	19719	26.0%

Common

Value	Count	Frequency (%)
	13718	98.6%
�	191	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	89486	99.8%
Specials	191	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	13718	15.3%
e	9188	10.3%
t	8438	9.4%
a	6942	7.8%
o	6669	7.5%
r	5945	6.6%
n	5156	5.8%
s	4956	5.5%
c	3126	3.5%
d	2837	3.2%
Other values (18)	22511	25.2%

Specials

Value	Count	Frequency (%)
�	191	100.0%

CommunicationTools
Categorical

HIGH CARDINALITY
MISSING

Distinct	348
Distinct (%)	17.2%
Missing	923
Missing (%)	31.3%
Memory size	23.1 KiB

Office / productivity suite (Microsoft Office, Google Suite, etc.)	136
Slack	113
Confluence;Jira;Slack	77
Other chat system (IRC, proprietary software, etc.)	53
Office / productivity suite (Microsoft Office, Google Suite, etc.);Slack	48
Other values (343)	1596

Length

Max length	271
Median length	67
Mean length	72.18783984
Min length	4

Characters and Unicode

Total characters	146036
Distinct characters	41
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	160 ?
Unique (%)	7.9%

Sample

1st row	Slack
2nd row	Confluence;Office / productivity suite (Microsoft Office, Google Suite, etc.);Slack;Other wiki tool (Github, Google Sites, proprietary software, etc.)
3rd row	Office / productivity suite (Microsoft Office, Google Suite, etc.)
4th row	Confluence;Jira;Office / productivity suite (Microsoft Office, Google Suite, etc.);Other chat system (IRC, proprietary software, etc.)
5th row	Confluence;Office / productivity suite (Microsoft Office, Google Suite, etc.);Stack Overflow Enterprise;Other chat system (IRC, proprietary software, etc.);Other wiki tool (Github, Google Sites, proprietary software, etc.)

Common Values

Value	Count	Frequency (%)
Office / productivity suite (Microsoft Office, Google Suite, etc.)	136	4.6%
Slack	113	3.8%
Confluence;Jira;Slack	77	2.6%
Other chat system (IRC, proprietary software, etc.)	53	1.8%
Office / productivity suite (Microsoft Office, Google Suite, etc.);Slack	48	1.6%
Slack;Trello	46	1.6%
Jira;Slack	44	1.5%
Slack;Other wiki tool (Github, Google Sites, proprietary software, etc.)	41	1.4%
Confluence;Jira	40	1.4%
Confluence;Jira;Office / productivity suite (Microsoft Office, Google Suite, etc.);Slack	38	1.3%
Other values (338)	1387	47.1%
(Missing)	923	31.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
google	1637	10.1%
suite	1612	10.0%
office	1145	7.1%
etc	1085	6.7%
software	998	6.2%
proprietary	998	6.2%
	806	5.0%
microsoft	806	5.0%
productivity	806	5.0%
wiki	581	3.6%
Other values (151)	5703	35.3%

Most occurring characters

Value	Count	Frequency (%)
	14154	9.7%
e	12825	8.8%
t	12521	8.6%
o	11047	7.6%
i	10039	6.9%
r	8021	5.5%
c	7374	5.0%
f	5725	3.9%
a	5576	3.8%
l	4837	3.3%
Other values (31)	53917	36.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	104696	71.7%
Space Separator	14154	9.7%
Uppercase Letter	12854	8.8%
Other Punctuation	10724	7.3%
Open Punctuation	1804	1.2%
Close Punctuation	1804	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12825	12.2%
t	12521	12.0%
o	11047	10.6%
i	10039	9.6%
r	8021	7.7%
c	7374	7.0%
f	5725	5.5%
a	5576	5.3%
l	4837	4.6%
s	4517	4.3%
Other values (12)	22214	21.2%

Uppercase Letter

Value	Count	Frequency (%)
O	2674	20.8%
S	2499	19.4%
G	2396	18.6%
C	1610	12.5%
J	879	6.8%
M	806	6.3%
H	560	4.4%
I	417	3.2%
R	417	3.2%
T	348	2.7%
Other values (2)	248	1.9%

Other Punctuation

Value	Count	Frequency (%)
,	4189	39.1%
;	3497	32.6%
.	1804	16.8%
/	1234	11.5%

Space Separator

Value	Count	Frequency (%)
	14154	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1804	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1804	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	117550	80.5%
Common	28486	19.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12825	10.9%
t	12521	10.7%
o	11047	9.4%
i	10039	8.5%
r	8021	6.8%
c	7374	6.3%
f	5725	4.9%
a	5576	4.7%
l	4837	4.1%
s	4517	3.8%
Other values (24)	35068	29.8%

Common

Value	Count	Frequency (%)
	14154	49.7%
,	4189	14.7%
;	3497	12.3%
(	1804	6.3%
.	1804	6.3%
)	1804	6.3%
/	1234	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	146036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	14154	9.7%
e	12825	8.8%
t	12521	8.6%
o	11047	7.6%
i	10039	6.9%
r	8021	5.5%
c	7374	5.0%
f	5725	3.9%
a	5576	3.8%
l	4837	3.3%
Other values (31)	53917	36.9%

TimeFullyProductive
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.3%
Missing	894
Missing (%)	30.3%
Memory size	23.1 KiB

One to three months	909
Less than a month	643
Three to six months	347
Six to nine months	111
Nine months to a year	25

Length

Max length	21
Median length	19
Mean length	18.31871345
Min length	16

Characters and Unicode

Total characters	37590
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	One to three months
2nd row	One to three months
3rd row	Three to six months
4th row	Three to six months
5th row	Less than a month

Common Values

Value	Count	Frequency (%)
One to three months	909	30.9%
Less than a month	643	21.8%
Three to six months	347	11.8%
Six to nine months	111	3.8%
Nine months to a year	25	0.8%
More than a year	17	0.6%
(Missing)	894	30.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
to	1392	16.9%
months	1392	16.9%
three	1256	15.3%
one	909	11.0%
a	685	8.3%
than	660	8.0%
less	643	7.8%
month	643	7.8%
six	458	5.6%
nine	136	1.7%
Other values (2)	59	0.7%

Most occurring characters

Value	Count	Frequency (%)
	6181	16.4%
t	4996	13.3%
e	4259	11.3%
h	3951	10.5%
n	3851	10.2%
o	3444	9.2%
s	3025	8.0%
m	2035	5.4%
a	1387	3.7%
r	1315	3.5%
Other values (9)	3146	8.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	29357	78.1%
Space Separator	6181	16.4%
Uppercase Letter	2052	5.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	4996	17.0%
e	4259	14.5%
h	3951	13.5%
n	3851	13.1%
o	3444	11.7%
s	3025	10.3%
m	2035	6.9%
a	1387	4.7%
r	1315	4.5%
i	594	2.0%
Other values (2)	500	1.7%

Uppercase Letter

Value	Count	Frequency (%)
O	909	44.3%
L	643	31.3%
T	347	16.9%
S	111	5.4%
N	25	1.2%
M	17	0.8%

Space Separator

Value	Count	Frequency (%)
	6181	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	31409	83.6%
Common	6181	16.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	4996	15.9%
e	4259	13.6%
h	3951	12.6%
n	3851	12.3%
o	3444	11.0%
s	3025	9.6%
m	2035	6.5%
a	1387	4.4%
r	1315	4.2%
O	909	2.9%
Other values (8)	2237	7.1%

Common

Value	Count	Frequency (%)
	6181	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37590	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6181	16.4%
t	4996	13.3%
e	4259	11.3%
h	3951	10.5%
n	3851	10.2%
o	3444	9.2%
s	3025	8.0%
m	2035	5.4%
a	1387	3.7%
r	1315	3.5%
Other values (9)	3146	8.4%

EducationTypes
Categorical

HIGH CARDINALITY
MISSING

Distinct	264
Distinct (%)	12.4%
Missing	818
Missing (%)	27.8%
Memory size	23.1 KiB

Taught yourself a new language, framework, or tool without taking a formal course	179
Taken an online course in programming or software development (e.g. a MOOC);Taught yourself a new language, framework, or tool without taking a formal course	144
Taught yourself a new language, framework, or tool without taking a formal course;Contributed to open source software	124
Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course	78
Taken an online course in programming or software development (e.g. a MOOC);Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course	68
Other values (259)	1535

Length

Max length	552
Median length	193
Mean length	199.5592105
Min length	27

Characters and Unicode

Total characters	424662
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	80 ?
Unique (%)	3.8%

Sample

1st row	Taught yourself a new language, framework, or tool without taking a formal course;Participated in a hackathon
2nd row	Taught yourself a new language, framework, or tool without taking a formal course;Contributed to open source software
3rd row	Completed an industry certification program (e.g. MCPD);Taught yourself a new language, framework, or tool without taking a formal course
4th row	Taken a part-time in-person course in programming or software development;Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course
5th row	Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course;Participated in online coding competitions (e.g. HackerRank, CodeChef, TopCoder)

Common Values

Value	Count	Frequency (%)
Taught yourself a new language, framework, or tool without taking a formal course	179	6.1%
Taken an online course in programming or software development (e.g. a MOOC);Taught yourself a new language, framework, or tool without taking a formal course	144	4.9%
Taught yourself a new language, framework, or tool without taking a formal course;Contributed to open source software	124	4.2%
Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course	78	2.6%
Taken an online course in programming or software development (e.g. a MOOC);Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course	68	2.3%
Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course;Contributed to open source software	53	1.8%
Taken an online course in programming or software development (e.g. a MOOC);Taught yourself a new language, framework, or tool without taking a formal course;Contributed to open source software	49	1.7%
Taken an online course in programming or software development (e.g. a MOOC);Taught yourself a new language, framework, or tool without taking a formal course;Participated in a hackathon;Contributed to open source software	37	1.3%
Taken an online course in programming or software development (e.g. a MOOC);Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course;Contributed to open source software	34	1.2%
Taken an online course in programming or software development (e.g. a MOOC);Taught yourself a new language, framework, or tool without taking a formal course;Participated in online coding competitions (e.g. HackerRank, CodeChef, TopCoder)	34	1.2%
Other values (254)	1328	45.1%
(Missing)	818	27.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	6001	10.6%
in	3629	6.4%
or	3510	6.2%
software	3094	5.5%
course	2110	3.7%
e.g	1896	3.3%
framework	1857	3.3%
formal	1857	3.3%
new	1857	3.3%
without	1857	3.3%
Other values (60)	28979	51.2%

Most occurring characters

Value	Count	Frequency (%)
	54519	12.8%
e	37841	8.9%
o	37326	8.8%
a	32041	7.5%
r	28002	6.6%
n	26993	6.4%
t	25939	6.1%
i	20666	4.9%
g	14281	3.4%
u	12961	3.1%
Other values (28)	134093	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	335407	79.0%
Space Separator	54519	12.8%
Uppercase Letter	15284	3.6%
Other Punctuation	13078	3.1%
Dash Punctuation	2582	0.6%
Open Punctuation	1896	0.4%
Close Punctuation	1896	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	37841	11.3%
o	37326	11.1%
a	32041	9.6%
r	28002	8.3%
n	26993	8.0%
t	25939	7.7%
i	20666	6.2%
g	14281	4.3%
u	12961	3.9%
l	12263	3.7%
Other values (13)	87094	26.0%

Uppercase Letter

Value	Count	Frequency (%)
C	4110	26.9%
T	3800	24.9%
O	2126	13.9%
P	1701	11.1%
M	1372	9.0%
R	1342	8.8%
H	524	3.4%
D	309	2.0%

Other Punctuation

Value	Count	Frequency (%)
,	4762	36.4%
;	4524	34.6%
.	3792	29.0%

Space Separator

Value	Count	Frequency (%)
	54519	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1896	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1896	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2582	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	350691	82.6%
Common	73971	17.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	37841	10.8%
o	37326	10.6%
a	32041	9.1%
r	28002	8.0%
n	26993	7.7%
t	25939	7.4%
i	20666	5.9%
g	14281	4.1%
u	12961	3.7%
l	12263	3.5%
Other values (21)	102378	29.2%

Common

Value	Count	Frequency (%)
	54519	73.7%
,	4762	6.4%
;	4524	6.1%
.	3792	5.1%
-	2582	3.5%
(	1896	2.6%
)	1896	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	424662	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	54519	12.8%
e	37841	8.9%
o	37326	8.8%
a	32041	7.5%
r	28002	6.6%
n	26993	6.4%
t	25939	6.1%
i	20666	4.9%
g	14281	3.4%
u	12961	3.1%
Other values (28)	134093	31.6%

SelfTaughtTypes
Categorical

HIGH CARDINALITY
MISSING

Distinct	226
Distinct (%)	12.5%
Missing	1134
Missing (%)	38.5%
Memory size	23.1 KiB

The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow	113
The official documentation and/or standards for the technology;Questions & answers on Stack Overflow	109
The official documentation and/or standards for the technology;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.)	103
The official documentation and/or standards for the technology;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.);The technology�s online help system	95
The official documentation and/or standards for the technology;Questions & answers on Stack Overflow;The technology�s online help system	87
Other values (221)	1305

Length

Max length	593
Median length	212
Mean length	226.6445916
Min length	35

Characters and Unicode

Total characters	410680
Distinct characters	43
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	5.0%

Sample

1st row	The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.)
2nd row	The official documentation and/or standards for the technology;Questions & answers on Stack Overflow
3rd row	The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow;The technology�s online help system
4th row	The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow
5th row	The official documentation and/or standards for the technology;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.)

Common Values

Value	Count	Frequency (%)
The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow	113	3.8%
The official documentation and/or standards for the technology;Questions & answers on Stack Overflow	109	3.7%
The official documentation and/or standards for the technology;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.)	103	3.5%
The official documentation and/or standards for the technology;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.);The technology�s online help system	95	3.2%
The official documentation and/or standards for the technology;Questions & answers on Stack Overflow;The technology�s online help system	87	3.0%
The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow;The technology�s online help system	77	2.6%
The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.);The technology�s online help system	73	2.5%
The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.)	62	2.1%
The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;A college/university computer science or software engineering book;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.);The technology�s online help system	36	1.2%
The official documentation and/or standards for the technology	28	1.0%
Other values (216)	1029	34.9%
(Missing)	1134	38.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	3414	6.3%
or	2641	4.9%
stack	2428	4.5%
documentation	1817	3.3%
for	1817	3.3%
official	1522	2.8%
and/or	1522	2.8%
standards	1522	2.8%
	1514	2.8%
on	1514	2.8%
Other values (91)	34562	63.7%

Most occurring characters

Value	Count	Frequency (%)
	52461	12.8%
e	37370	9.1%
o	35481	8.6%
n	25951	6.3%
s	24497	6.0%
r	22907	5.6%
t	21726	5.3%
i	18739	4.6%
a	18001	4.4%
l	17584	4.3%
Other values (33)	135963	33.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	320068	77.9%
Space Separator	52461	12.8%
Uppercase Letter	17457	4.3%
Other Punctuation	16106	3.9%
Other Symbol	1762	0.4%
Dash Punctuation	998	0.2%
Open Punctuation	914	0.2%
Close Punctuation	914	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	37370	11.7%
o	35481	11.1%
n	25951	8.1%
s	24497	7.7%
r	22907	7.2%
t	21726	6.8%
i	18739	5.9%
a	18001	5.6%
l	17584	5.5%
c	13378	4.2%
Other values (13)	84434	26.4%

Uppercase Letter

Value	Count	Frequency (%)
O	4264	24.4%
T	2727	15.6%
S	2428	13.9%
A	2194	12.6%
R	1836	10.5%
Q	1514	8.7%
I	1209	6.9%
C	914	5.2%
W	295	1.7%
P	76	0.4%

Other Punctuation

Value	Count	Frequency (%)
,	5906	36.7%
;	4986	31.0%
/	1872	11.6%
.	1828	11.3%
&	1514	9.4%

Space Separator

Value	Count	Frequency (%)
	52461	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	998	100.0%

Other Symbol

Value	Count	Frequency (%)
�	1762	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	914	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	914	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	337525	82.2%
Common	73155	17.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	37370	11.1%
o	35481	10.5%
n	25951	7.7%
s	24497	7.3%
r	22907	6.8%
t	21726	6.4%
i	18739	5.6%
a	18001	5.3%
l	17584	5.2%
c	13378	4.0%
Other values (23)	101891	30.2%

Common

Value	Count	Frequency (%)
	52461	71.7%
,	5906	8.1%
;	4986	6.8%
/	1872	2.6%
.	1828	2.5%
�	1762	2.4%
&	1514	2.1%
-	998	1.4%
(	914	1.2%
)	914	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	408918	99.6%
Specials	1762	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	52461	12.8%
e	37370	9.1%
o	35481	8.7%
n	25951	6.3%
s	24497	6.0%
r	22907	5.6%
t	21726	5.3%
i	18739	4.6%
a	18001	4.4%
l	17584	4.3%
Other values (32)	134201	32.8%

Specials

Value	Count	Frequency (%)
�	1762	100.0%

TimeAfterBootcamp
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	3.6%
Missing	2725
Missing (%)	92.5%
Memory size	23.1 KiB

I already had a full-time job as a developer when I began the program	112
Immediately after graduating	36
One to three months	25
Less than a month	19
Four to six months	11
Other values (3)	18

Length

Max length	69
Median length	69
Mean length	45.83710407
Min length	17

Characters and Unicode

Total characters	10130
Distinct characters	30
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Immediately after graduating
2nd row	I already had a full-time job as a developer when I began the program
3rd row	Immediately after graduating
4th row	I already had a full-time job as a developer when I began the program
5th row	I already had a full-time job as a developer when I began the program

Common Values

Value	Count	Frequency (%)
I already had a full-time job as a developer when I began the program	112	3.8%
Immediately after graduating	36	1.2%
One to three months	25	0.8%
Less than a month	19	0.6%
Four to six months	11	0.4%
Six months to a year	9	0.3%
Longer than a year	5	0.2%
I haven�t gotten a developer job	4	0.1%
(Missing)	2725	92.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
a	261	13.1%
i	228	11.5%
job	116	5.8%
developer	116	5.8%
as	112	5.6%
already	112	5.6%
program	112	5.6%
full-time	112	5.6%
had	112	5.6%
when	112	5.6%
Other values (18)	592	29.8%

Most occurring characters

Value	Count	Frequency (%)
	1764	17.4%
e	1137	11.2%
a	1119	11.0%
r	579	5.7%
t	502	5.0%
l	488	4.8%
o	473	4.7%
h	453	4.5%
d	412	4.1%
n	386	3.8%
Other values (20)	2817	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7917	78.2%
Space Separator	1764	17.4%
Uppercase Letter	333	3.3%
Dash Punctuation	112	1.1%
Other Symbol	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1137	14.4%
a	1119	14.1%
r	579	7.3%
t	502	6.3%
l	488	6.2%
o	473	6.0%
h	453	5.7%
d	412	5.2%
n	386	4.9%
m	360	4.5%
Other values (12)	2008	25.4%

Uppercase Letter

Value	Count	Frequency (%)
I	264	79.3%
O	25	7.5%
L	24	7.2%
F	11	3.3%
S	9	2.7%

Space Separator

Value	Count	Frequency (%)
	1764	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	112	100.0%

Other Symbol

Value	Count	Frequency (%)
�	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8250	81.4%
Common	1880	18.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1137	13.8%
a	1119	13.6%
r	579	7.0%
t	502	6.1%
l	488	5.9%
o	473	5.7%
h	453	5.5%
d	412	5.0%
n	386	4.7%
m	360	4.4%
Other values (17)	2341	28.4%

Common

Value	Count	Frequency (%)
	1764	93.8%
-	112	6.0%
�	4	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10126	> 99.9%
Specials	4	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1764	17.4%
e	1137	11.2%
a	1119	11.1%
r	579	5.7%
t	502	5.0%
l	488	4.8%
o	473	4.7%
h	453	4.5%
d	412	4.1%
n	386	3.8%
Other values (19)	2813	27.8%

Specials

Value	Count	Frequency (%)
�	4	100.0%

HackathonReasons
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	98
Distinct (%)	11.5%
Missing	2097
Missing (%)	71.2%
Memory size	23.1 KiB

To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;Because I find it enjoyable	113
Because I find it enjoyable	105
To improve my general technical skills or programming ability;Because I find it enjoyable	67
To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;To improve my ability to work on a team with other programmers;Because I find it enjoyable	32
To improve my general technical skills or programming ability	29
Other values (93)	503

Length

Max length	343
Median length	152
Mean length	146.6242638
Min length	27

Characters and Unicode

Total characters	124484
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	1.8%

Sample

1st row	To build my professional network
2nd row	To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;Because I find it enjoyable
3rd row	To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;To improve my ability to work on a team with other programmers;Because I find it enjoyable
4th row	Because I find it enjoyable
5th row	To improve my general technical skills or programming ability

Common Values

Value	Count	Frequency (%)
To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;Because I find it enjoyable	113	3.8%
Because I find it enjoyable	105	3.6%
To improve my general technical skills or programming ability;Because I find it enjoyable	67	2.3%
To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;To improve my ability to work on a team with other programmers;Because I find it enjoyable	32	1.1%
To improve my general technical skills or programming ability	29	1.0%
To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;To improve my ability to work on a team with other programmers;To build my professional network;Because I find it enjoyable	23	0.8%
To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology	21	0.7%
To improve my knowledge of a specific programming language, framework, or other technology;Because I find it enjoyable	17	0.6%
To improve my knowledge of a specific programming language, framework, or other technology	17	0.6%
To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;To improve my ability to work on a team with other programmers;To build my professional network;To help me find new job opportunities;To win prizes or cash awards;Because I find it enjoyable	16	0.5%
Other values (88)	409	13.9%
(Missing)	2097	71.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
my	1444	7.8%
improve	1209	6.6%
or	1142	6.2%
to	977	5.3%
programming	976	5.3%
find	836	4.5%
a	658	3.6%
other	658	3.6%
i	652	3.5%
it	652	3.5%
Other values (40)	9198	50.0%

Most occurring characters

Value	Count	Frequency (%)
	17553	14.1%
o	10745	8.6%
e	10516	8.4%
i	8596	6.9%
r	8280	6.7%
a	7298	5.9%
n	6078	4.9%
m	5913	4.8%
l	5569	4.5%
g	4436	3.6%
Other values (20)	39500	31.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	101386	81.4%
Space Separator	17553	14.1%
Uppercase Letter	3098	2.5%
Other Punctuation	2447	2.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	10745	10.6%
e	10516	10.4%
i	8596	8.5%
r	8280	8.2%
a	7298	7.2%
n	6078	6.0%
m	5913	5.8%
l	5569	5.5%
g	4436	4.4%
t	4372	4.3%
Other values (14)	29583	29.2%

Uppercase Letter

Value	Count	Frequency (%)
T	1794	57.9%
B	652	21.0%
I	652	21.0%

Other Punctuation

Value	Count	Frequency (%)
;	1597	65.3%
,	850	34.7%

Space Separator

Value	Count	Frequency (%)
	17553	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	104484	83.9%
Common	20000	16.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	10745	10.3%
e	10516	10.1%
i	8596	8.2%
r	8280	7.9%
a	7298	7.0%
n	6078	5.8%
m	5913	5.7%
l	5569	5.3%
g	4436	4.2%
t	4372	4.2%
Other values (17)	32681	31.3%

Common

Value	Count	Frequency (%)
	17553	87.8%
;	1597	8.0%
,	850	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	124484	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	17553	14.1%
o	10745	8.6%
e	10516	8.4%
i	8596	6.9%
r	8280	6.7%
a	7298	5.9%
n	6078	4.9%
m	5913	4.8%
l	5569	4.5%
g	4436	3.6%
Other values (20)	39500	31.7%

AgreeDisagree1
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.2%
Missing	813
Missing (%)	27.6%
Memory size	23.1 KiB

Agree	1166
Neither Agree nor Disagree	418
Strongly agree	382
Disagree	126
Strongly disagree	41

Length

Max length	26
Median length	5
Mean length	11.1350211
Min length	5

Characters and Unicode

Total characters	23751
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Strongly agree
2nd row	Agree
3rd row	Disagree
4th row	Strongly agree
5th row	Disagree

Common Values

Value	Count	Frequency (%)
Agree	1166	39.6%
Neither Agree nor Disagree	418	14.2%
Strongly agree	382	13.0%
Disagree	126	4.3%
Strongly disagree	41	1.4%
(Missing)	813	27.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
agree	1966	51.6%
disagree	585	15.4%
strongly	423	11.1%
nor	418	11.0%
neither	418	11.0%

Most occurring characters

Value	Count	Frequency (%)
e	5938	25.0%
r	3810	16.0%
g	2974	12.5%
	1677	7.1%
A	1584	6.7%
i	1003	4.2%
a	967	4.1%
t	841	3.5%
o	841	3.5%
n	841	3.5%
Other values (8)	3275	13.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19105	80.4%
Uppercase Letter	2969	12.5%
Space Separator	1677	7.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5938	31.1%
r	3810	19.9%
g	2974	15.6%
i	1003	5.2%
a	967	5.1%
t	841	4.4%
o	841	4.4%
n	841	4.4%
s	585	3.1%
l	423	2.2%
Other values (3)	882	4.6%

Uppercase Letter

Value	Count	Frequency (%)
A	1584	53.4%
D	544	18.3%
S	423	14.2%
N	418	14.1%

Space Separator

Value	Count	Frequency (%)
	1677	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22074	92.9%
Common	1677	7.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5938	26.9%
r	3810	17.3%
g	2974	13.5%
A	1584	7.2%
i	1003	4.5%
a	967	4.4%
t	841	3.8%
o	841	3.8%
n	841	3.8%
s	585	2.7%
Other values (7)	2690	12.2%

Common

Value	Count	Frequency (%)
	1677	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23751	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5938	25.0%
r	3810	16.0%
g	2974	12.5%
	1677	7.1%
A	1584	6.7%
i	1003	4.2%
a	967	4.1%
t	841	3.5%
o	841	3.5%
n	841	3.5%
Other values (8)	3275	13.8%

AgreeDisagree2
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.2%
Missing	813
Missing (%)	27.6%
Memory size	23.1 KiB

Agree	575
Neither Agree nor Disagree	567
Disagree	563
Strongly disagree	268
Strongly agree	160

Length

Max length	26
Median length	8
Mean length	13.55696203
Min length	5

Characters and Unicode

Total characters	28917
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Strongly agree
2nd row	Agree
3rd row	Disagree
4th row	Agree
5th row	Neither Agree nor Disagree

Common Values

Value	Count	Frequency (%)
Agree	575	19.5%
Neither Agree nor Disagree	567	19.2%
Disagree	563	19.1%
Strongly disagree	268	9.1%
Strongly agree	160	5.4%
(Missing)	813	27.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
disagree	1398	32.8%
agree	1302	30.5%
nor	567	13.3%
neither	567	13.3%
strongly	428	10.0%

Most occurring characters

Value	Count	Frequency (%)
e	6534	22.6%
r	4262	14.7%
g	3128	10.8%
	2129	7.4%
i	1965	6.8%
a	1558	5.4%
s	1398	4.8%
A	1142	3.9%
D	1130	3.9%
t	995	3.4%
Other values (8)	4676	16.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23521	81.3%
Uppercase Letter	3267	11.3%
Space Separator	2129	7.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6534	27.8%
r	4262	18.1%
g	3128	13.3%
i	1965	8.4%
a	1558	6.6%
s	1398	5.9%
t	995	4.2%
o	995	4.2%
n	995	4.2%
h	567	2.4%
Other values (3)	1124	4.8%

Uppercase Letter

Value	Count	Frequency (%)
A	1142	35.0%
D	1130	34.6%
N	567	17.4%
S	428	13.1%

Space Separator

Value	Count	Frequency (%)
	2129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26788	92.6%
Common	2129	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6534	24.4%
r	4262	15.9%
g	3128	11.7%
i	1965	7.3%
a	1558	5.8%
s	1398	5.2%
A	1142	4.3%
D	1130	4.2%
t	995	3.7%
o	995	3.7%
Other values (7)	3681	13.7%

Common

Value	Count	Frequency (%)
	2129	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28917	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6534	22.6%
r	4262	14.7%
g	3128	10.8%
	2129	7.4%
i	1965	6.8%
a	1558	5.4%
s	1398	4.8%
A	1142	3.9%
D	1130	3.9%
t	995	3.4%
Other values (8)	4676	16.2%

AgreeDisagree3
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.2%
Missing	807
Missing (%)	27.4%
Memory size	23.1 KiB

Disagree	766
Neither Agree nor Disagree	512
Strongly disagree	496
Agree	298
Strongly agree	67

Length

Max length	26
Median length	14
Mean length	14.1654979
Min length	5

Characters and Unicode

Total characters	30300
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neither Agree nor Disagree
2nd row	Neither Agree nor Disagree
3rd row	Strongly disagree
4th row	Strongly disagree
5th row	Strongly disagree

Common Values

Value	Count	Frequency (%)
Disagree	766	26.0%
Neither Agree nor Disagree	512	17.4%
Strongly disagree	496	16.8%
Agree	298	10.1%
Strongly agree	67	2.3%
(Missing)	807	27.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
disagree	1774	41.9%
agree	877	20.7%
strongly	563	13.3%
nor	512	12.1%
neither	512	12.1%

Most occurring characters

Value	Count	Frequency (%)
e	6326	20.9%
r	4238	14.0%
g	3214	10.6%
i	2286	7.5%
	2099	6.9%
a	1841	6.1%
s	1774	5.9%
D	1278	4.2%
t	1075	3.5%
n	1075	3.5%
Other values (8)	5094	16.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	25038	82.6%
Uppercase Letter	3163	10.4%
Space Separator	2099	6.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6326	25.3%
r	4238	16.9%
g	3214	12.8%
i	2286	9.1%
a	1841	7.4%
s	1774	7.1%
t	1075	4.3%
n	1075	4.3%
o	1075	4.3%
l	563	2.2%
Other values (3)	1571	6.3%

Uppercase Letter

Value	Count	Frequency (%)
D	1278	40.4%
A	810	25.6%
S	563	17.8%
N	512	16.2%

Space Separator

Value	Count	Frequency (%)
	2099	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28201	93.1%
Common	2099	6.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6326	22.4%
r	4238	15.0%
g	3214	11.4%
i	2286	8.1%
a	1841	6.5%
s	1774	6.3%
D	1278	4.5%
t	1075	3.8%
n	1075	3.8%
o	1075	3.8%
Other values (7)	4019	14.3%

Common

Value	Count	Frequency (%)
	2099	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30300	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6326	20.9%
r	4238	14.0%
g	3214	10.6%
i	2286	7.5%
	2099	6.9%
a	1841	6.1%
s	1774	5.9%
D	1278	4.2%
t	1075	3.5%
n	1075	3.5%
Other values (8)	5094	16.8%

LanguageWorkedWith
Categorical

HIGH CARDINALITY
MISSING

Distinct	1578
Distinct (%)	64.5%
Missing	499
Missing (%)	16.9%
Memory size	23.1 KiB

C#;JavaScript;SQL;HTML;CSS	55
JavaScript;PHP;SQL;HTML;CSS	42
C#;JavaScript;SQL;TypeScript;HTML;CSS	35
Java	31
JavaScript;HTML;CSS	28
Other values (1573)	2256

Length

Max length	147
Median length	35
Mean length	36.90273805
Min length	1

Characters and Unicode

Total characters	90301
Distinct characters	50
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1330 ?
Unique (%)	54.4%

Sample

1st row	JavaScript;Python;HTML;CSS
2nd row	JavaScript;Python;Bash/Shell
3rd row	C#;JavaScript;SQL;TypeScript;HTML;CSS;Bash/Shell
4th row	C;C++;Java;Matlab;R;SQL;Bash/Shell
5th row	Java;JavaScript;Python;TypeScript;HTML;CSS

Common Values

Value	Count	Frequency (%)
C#;JavaScript;SQL;HTML;CSS	55	1.9%
JavaScript;PHP;SQL;HTML;CSS	42	1.4%
C#;JavaScript;SQL;TypeScript;HTML;CSS	35	1.2%
Java	31	1.1%
JavaScript;HTML;CSS	28	1.0%
JavaScript;PHP;HTML;CSS	26	0.9%
JavaScript;PHP;SQL;HTML;CSS;Bash/Shell	19	0.6%
Java;JavaScript;SQL;HTML;CSS	18	0.6%
C#;JavaScript;TypeScript;HTML;CSS	18	0.6%
JavaScript;TypeScript;HTML;CSS	17	0.6%
Other values (1568)	2158	73.3%
(Missing)	499	16.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
basic	99	3.7%
c#;javascript;sql;html;css	55	2.0%
6;html;css	45	1.7%
javascript;php;sql;html;css	42	1.6%
c#;javascript;sql;typescript;html;css	35	1.3%
java	31	1.1%
javascript;html;css	28	1.0%
javascript;php;html;css	26	1.0%
6;html;css;bash/shell	24	0.9%
c	21	0.8%
Other values (1577)	2293	85.0%

Most occurring characters

Value	Count	Frequency (%)
;	12476	13.8%
S	8165	9.0%
a	7460	8.3%
t	3904	4.3%
C	3769	4.2%
L	3172	3.5%
v	3073	3.4%
i	3048	3.4%
l	2890	3.2%
h	2861	3.2%
Other values (40)	39483	43.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42214	46.7%
Uppercase Letter	31909	35.3%
Other Punctuation	14553	16.1%
Math Symbol	1098	1.2%
Space Separator	252	0.3%
Dash Punctuation	176	0.2%
Decimal Number	99	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	7460	17.7%
t	3904	9.2%
v	3073	7.3%
i	3048	7.2%
l	2890	6.8%
h	2861	6.8%
p	2813	6.7%
c	2800	6.6%
r	2544	6.0%
e	2377	5.6%
Other values (12)	8444	20.0%

Uppercase Letter

Value	Count	Frequency (%)
S	8165	25.6%
C	3769	11.8%
L	3172	9.9%
J	2799	8.8%
P	2521	7.9%
H	2439	7.6%
T	2296	7.2%
M	1761	5.5%
Q	1451	4.5%
B	1333	4.2%
Other values (10)	2203	6.9%

Other Punctuation

Value	Count	Frequency (%)
;	12476	85.7%
/	1010	6.9%
#	897	6.2%
.	170	1.2%

Math Symbol

Value	Count	Frequency (%)
+	1098	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	176	100.0%

Space Separator

Value	Count	Frequency (%)
	252	100.0%

Decimal Number

Value	Count	Frequency (%)
6	99	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	74123	82.1%
Common	16178	17.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	8165	11.0%
a	7460	10.1%
t	3904	5.3%
C	3769	5.1%
L	3172	4.3%
v	3073	4.1%
i	3048	4.1%
l	2890	3.9%
h	2861	3.9%
p	2813	3.8%
Other values (32)	32968	44.5%

Common

Value	Count	Frequency (%)
;	12476	77.1%
+	1098	6.8%
/	1010	6.2%
#	897	5.5%
	252	1.6%
-	176	1.1%
.	170	1.1%
6	99	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	90301	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
;	12476	13.8%
S	8165	9.0%
a	7460	8.3%
t	3904	4.3%
C	3769	4.2%
L	3172	3.5%
v	3073	3.4%
i	3048	3.4%
l	2890	3.2%
h	2861	3.2%
Other values (40)	39483	43.7%

LanguageDesireNextYear
Categorical

HIGH CARDINALITY
MISSING

Distinct	1607
Distinct (%)	70.5%
Missing	667
Missing (%)	22.6%
Memory size	23.1 KiB

Python	28
C#	28
C#;JavaScript;SQL;TypeScript;HTML;CSS	22
Java	20
C#;JavaScript;SQL;HTML;CSS	19
Other values (1602)	2162

Length

Max length	257
Median length	28
Mean length	30.23475208
Min length	1

Characters and Unicode

Total characters	68905
Distinct characters	50
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1377 ?
Unique (%)	60.4%

Sample

1st row	JavaScript;Python;HTML;CSS
2nd row	Go;Python
3rd row	C#;JavaScript;SQL;TypeScript;HTML;CSS;Bash/Shell
4th row	Assembly;C;C++;Matlab;SQL;Bash/Shell
5th row	C#;Go;Java;JavaScript;Python;SQL;TypeScript;HTML;CSS

Common Values

Value	Count	Frequency (%)
Python	28	1.0%
C#	28	1.0%
C#;JavaScript;SQL;TypeScript;HTML;CSS	22	0.7%
Java	20	0.7%
C#;JavaScript;SQL;HTML;CSS	19	0.6%
JavaScript;HTML;CSS	16	0.5%
TypeScript	16	0.5%
JavaScript;TypeScript;HTML;CSS	15	0.5%
Swift	15	0.5%
C++;Python	13	0.4%
Other values (1597)	2087	70.8%
(Missing)	667	22.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
c	36	1.5%
python	28	1.2%
c#;javascript;sql;typescript;html;css	22	0.9%
java	20	0.9%
c#;javascript;sql;html;css	19	0.8%
typescript	16	0.7%
javascript;html;css	16	0.7%
javascript;typescript;html;css	15	0.6%
swift	15	0.6%
basic	14	0.6%
Other values (1609)	2132	91.4%

Most occurring characters

Value	Count	Frequency (%)
;	9190	13.3%
S	5500	8.0%
a	5189	7.5%
t	3826	5.6%
i	2607	3.8%
l	2607	3.8%
C	2445	3.5%
p	2300	3.3%
h	2219	3.2%
c	2171	3.2%
Other values (40)	30851	44.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	36019	52.3%
Uppercase Letter	21271	30.9%
Other Punctuation	10656	15.5%
Math Symbol	792	1.1%
Dash Punctuation	99	0.1%
Space Separator	54	0.1%
Decimal Number	14	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	5189	14.4%
t	3826	10.6%
i	2607	7.2%
l	2607	7.2%
p	2300	6.4%
h	2219	6.2%
c	2171	6.0%
o	2132	5.9%
r	2028	5.6%
v	1972	5.5%
Other values (12)	8968	24.9%

Uppercase Letter

Value	Count	Frequency (%)
S	5500	25.9%
C	2445	11.5%
J	1848	8.7%
L	1848	8.7%
P	1768	8.3%
T	1505	7.1%
H	1448	6.8%
M	970	4.6%
Q	871	4.1%
B	707	3.3%
Other values (10)	2361	11.1%

Other Punctuation

Value	Count	Frequency (%)
;	9190	86.2%
#	780	7.3%
/	631	5.9%
.	55	0.5%

Math Symbol

Value	Count	Frequency (%)
+	792	100.0%

Space Separator

Value	Count	Frequency (%)
	54	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	99	100.0%

Decimal Number

Value	Count	Frequency (%)
6	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	57290	83.1%
Common	11615	16.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	5500	9.6%
a	5189	9.1%
t	3826	6.7%
i	2607	4.6%
l	2607	4.6%
C	2445	4.3%
p	2300	4.0%
h	2219	3.9%
c	2171	3.8%
o	2132	3.7%
Other values (32)	26294	45.9%

Common

Value	Count	Frequency (%)
;	9190	79.1%
+	792	6.8%
#	780	6.7%
/	631	5.4%
-	99	0.9%
.	55	0.5%
	54	0.5%
6	14	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	68905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
;	9190	13.3%
S	5500	8.0%
a	5189	7.5%
t	3826	5.6%
i	2607	3.8%
l	2607	3.8%
C	2445	3.5%
p	2300	3.3%
h	2219	3.2%
c	2171	3.2%
Other values (40)	30851	44.8%

DatabaseWorkedWith
Categorical

HIGH CARDINALITY
MISSING

Distinct	691
Distinct (%)	32.4%
Missing	816
Missing (%)	27.7%
Memory size	23.1 KiB

SQL Server	196
MySQL	155
SQL Server;MySQL	91
PostgreSQL	77
SQLite	45
Other values (686)	1566

Length

Max length	247
Median length	21
Mean length	28.01502347
Min length	5

Characters and Unicode

Total characters	59672
Distinct characters	47
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	501 ?
Unique (%)	23.5%

Sample

1st row	Redis;SQL Server;MySQL;PostgreSQL;Amazon RDS/Aurora;Microsoft Azure (Tables, CosmosDB, SQL, etc)
2nd row	Redis;PostgreSQL;Memcached
3rd row	SQL Server;Microsoft Azure (Tables, CosmosDB, SQL, etc)
4th row	SQL Server;PostgreSQL;Oracle;IBM Db2
5th row	MongoDB

Common Values

Value	Count	Frequency (%)
SQL Server	196	6.7%
MySQL	155	5.3%
SQL Server;MySQL	91	3.1%
PostgreSQL	77	2.6%
SQLite	45	1.5%
MySQL;PostgreSQL	44	1.5%
MongoDB;MySQL	39	1.3%
MySQL;SQLite	35	1.2%
MongoDB	31	1.1%
MySQL;MariaDB	31	1.1%
Other values (681)	1386	47.0%
(Missing)	816	27.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sql	815	18.0%
server	223	4.9%
tables	168	3.7%
cosmosdb	168	3.7%
azure	168	3.7%
mysql	155	3.4%
server;mysql	123	2.7%
mongodb;sql	121	2.7%
etc	120	2.7%
cloud	95	2.1%
Other values (521)	2364	52.3%

Most occurring characters

Value	Count	Frequency (%)
e	5201	8.7%
S	4533	7.6%
r	4199	7.0%
;	3855	6.5%
o	3474	5.8%
Q	3452	5.8%
L	3405	5.7%
a	2711	4.5%
s	2682	4.5%
	2390	4.0%
Other values (37)	23770	39.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32746	54.9%
Uppercase Letter	19622	32.9%
Other Punctuation	4478	7.5%
Space Separator	2390	4.0%
Open Punctuation	168	0.3%
Close Punctuation	168	0.3%
Decimal Number	100	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5201	15.9%
r	4199	12.8%
o	3474	10.6%
a	2711	8.3%
s	2682	8.2%
t	1949	6.0%
i	1754	5.4%
c	1544	4.7%
g	1516	4.6%
y	1351	4.1%
Other values (12)	6365	19.4%

Uppercase Letter

Value	Count	Frequency (%)
S	4533	23.1%
Q	3452	17.6%
L	3405	17.4%
M	2329	11.9%
D	1366	7.0%
B	1212	6.2%
P	707	3.6%
A	642	3.3%
R	573	2.9%
C	340	1.7%
Other values (7)	1063	5.4%

Other Punctuation

Value	Count	Frequency (%)
;	3855	86.1%
,	504	11.3%
/	119	2.7%

Decimal Number

Value	Count	Frequency (%)
4	56	56.0%
2	44	44.0%

Space Separator

Value	Count	Frequency (%)
	2390	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	168	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	168	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	52368	87.8%
Common	7304	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5201	9.9%
S	4533	8.7%
r	4199	8.0%
o	3474	6.6%
Q	3452	6.6%
L	3405	6.5%
a	2711	5.2%
s	2682	5.1%
M	2329	4.4%
t	1949	3.7%
Other values (29)	18433	35.2%

Common

Value	Count	Frequency (%)
;	3855	52.8%
	2390	32.7%
,	504	6.9%
(	168	2.3%
)	168	2.3%
/	119	1.6%
4	56	0.8%
2	44	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	59672	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5201	8.7%
S	4533	7.6%
r	4199	7.0%
;	3855	6.5%
o	3474	5.8%
Q	3452	5.8%
L	3405	5.7%
a	2711	4.5%
s	2682	4.5%
	2390	4.0%
Other values (37)	23770	39.8%

DatabaseDesireNextYear
Categorical

HIGH CARDINALITY
MISSING

Distinct	819
Distinct (%)	44.7%
Missing	1115
Missing (%)	37.8%
Memory size	23.1 KiB

SQL Server	89
PostgreSQL	78
MongoDB	74
MySQL	60
SQL Server;Microsoft Azure (Tables, CosmosDB, SQL, etc)	31
Other values (814)	1499

Length

Max length	254
Median length	26
Mean length	35.24904424
Min length	5

Characters and Unicode

Total characters	64541
Distinct characters	47
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	632 ?
Unique (%)	34.5%

Sample

1st row	Redis;SQL Server;MySQL;PostgreSQL;Amazon RDS/Aurora;Microsoft Azure (Tables, CosmosDB, SQL, etc)
2nd row	PostgreSQL
3rd row	SQL Server;Microsoft Azure (Tables, CosmosDB, SQL, etc)
4th row	PostgreSQL;Oracle;IBM Db2
5th row	PostgreSQL

Common Values

Value	Count	Frequency (%)
SQL Server	89	3.0%
PostgreSQL	78	2.6%
MongoDB	74	2.5%
MySQL	60	2.0%
SQL Server;Microsoft Azure (Tables, CosmosDB, SQL, etc)	31	1.1%
SQL Server;MySQL	29	1.0%
SQLite	28	1.0%
MongoDB;MySQL	27	0.9%
MySQL;MariaDB	21	0.7%
MongoDB;Elasticsearch	21	0.7%
Other values (809)	1373	46.6%
(Missing)	1115	37.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sql	554	11.7%
cosmosdb	255	5.4%
azure	255	5.4%
tables	255	5.4%
cloud	190	4.0%
etc	135	2.9%
storage	120	2.5%
server	111	2.3%
mongodb;sql	103	2.2%
postgresql	78	1.6%
Other values (560)	2677	56.6%

Most occurring characters

Value	Count	Frequency (%)
e	5148	8.0%
o	4914	7.6%
r	3831	5.9%
;	3775	5.8%
a	3712	5.8%
s	3587	5.6%
S	3104	4.8%
	2902	4.5%
Q	2381	3.7%
L	2244	3.5%
Other values (37)	28943	44.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38945	60.3%
Uppercase Letter	17343	26.9%
Other Punctuation	4690	7.3%
Space Separator	2902	4.5%
Open Punctuation	255	0.4%
Close Punctuation	255	0.4%
Decimal Number	151	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5148	13.2%
o	4914	12.6%
r	3831	9.8%
a	3712	9.5%
s	3587	9.2%
t	2152	5.5%
c	2023	5.2%
i	2005	5.1%
g	1924	4.9%
n	1498	3.8%
Other values (12)	8151	20.9%

Uppercase Letter

Value	Count	Frequency (%)
S	3104	17.9%
Q	2381	13.7%
L	2244	12.9%
M	1915	11.0%
D	1718	9.9%
B	1577	9.1%
A	976	5.6%
R	694	4.0%
C	635	3.7%
P	590	3.4%
Other values (7)	1509	8.7%

Other Punctuation

Value	Count	Frequency (%)
;	3775	80.5%
,	765	16.3%
/	150	3.2%

Decimal Number

Value	Count	Frequency (%)
4	132	87.4%
2	19	12.6%

Space Separator

Value	Count	Frequency (%)
	2902	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	255	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	255	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	56288	87.2%
Common	8253	12.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5148	9.1%
o	4914	8.7%
r	3831	6.8%
a	3712	6.6%
s	3587	6.4%
S	3104	5.5%
Q	2381	4.2%
L	2244	4.0%
t	2152	3.8%
c	2023	3.6%
Other values (29)	23192	41.2%

Common

Value	Count	Frequency (%)
;	3775	45.7%
	2902	35.2%
,	765	9.3%
(	255	3.1%
)	255	3.1%
/	150	1.8%
4	132	1.6%
2	19	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64541	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5148	8.0%
o	4914	7.6%
r	3831	5.9%
;	3775	5.8%
a	3712	5.8%
s	3587	5.6%
S	3104	4.8%
	2902	4.5%
Q	2381	3.7%
L	2244	3.5%
Other values (37)	28943	44.8%

PlatformWorkedWith
Categorical

HIGH CARDINALITY
MISSING

Distinct	764
Distinct (%)	36.9%
Missing	876
Missing (%)	29.7%
Memory size	23.1 KiB

Windows Desktop or Server	164
Linux	141
Linux;Windows Desktop or Server	84
AWS	62
Android	53
Other values (759)	1566

Length

Max length	197
Median length	25
Mean length	28.90048309
Min length	3

Characters and Unicode

Total characters	59824
Distinct characters	48
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	563 ?
Unique (%)	27.2%

Sample

1st row	AWS;Azure;Linux;Firebase
2nd row	Linux
3rd row	Azure
4th row	Arduino;Windows Desktop or Server
5th row	Linux

Common Values

Value	Count	Frequency (%)
Windows Desktop or Server	164	5.6%
Linux	141	4.8%
Linux;Windows Desktop or Server	84	2.9%
AWS	62	2.1%
Android	53	1.8%
WordPress	41	1.4%
AWS;Linux	37	1.3%
Linux;Mac OS	35	1.2%
Azure	30	1.0%
Android;Firebase	26	0.9%
Other values (754)	1397	47.4%
(Missing)	876	29.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
or	791	13.6%
desktop	725	12.5%
server	564	9.7%
cloud	201	3.5%
windows	180	3.1%
platform/app	168	2.9%
linux	141	2.4%
os	134	2.3%
pi;windows	108	1.9%
pi	101	1.7%
Other values (617)	2689	46.3%

Most occurring characters

Value	Count	Frequency (%)
r	5560	9.3%
e	4853	8.1%
o	4716	7.9%
	3732	6.2%
;	3722	6.2%
i	3670	6.1%
n	3113	5.2%
s	3082	5.2%
d	2624	4.4%
S	2207	3.7%
Other values (38)	22545	37.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40785	68.2%
Uppercase Letter	11229	18.8%
Other Punctuation	3890	6.5%
Space Separator	3732	6.2%
Decimal Number	188	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	5560	13.6%
e	4853	11.9%
o	4716	11.6%
i	3670	9.0%
n	3113	7.6%
s	3082	7.6%
d	2624	6.4%
u	1897	4.7%
p	1557	3.8%
a	1481	3.6%
Other values (14)	8232	20.2%

Uppercase Letter

Value	Count	Frequency (%)
S	2207	19.7%
A	1798	16.0%
W	1726	15.4%
L	982	8.7%
P	968	8.6%
D	802	7.1%
O	691	6.2%
M	422	3.8%
F	295	2.6%
R	287	2.6%
Other values (8)	1051	9.4%

Decimal Number

Value	Count	Frequency (%)
6	94	50.0%
8	47	25.0%
2	47	25.0%

Other Punctuation

Value	Count	Frequency (%)
;	3722	95.7%
/	168	4.3%

Space Separator

Value	Count	Frequency (%)
	3732	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	52014	86.9%
Common	7810	13.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	5560	10.7%
e	4853	9.3%
o	4716	9.1%
i	3670	7.1%
n	3113	6.0%
s	3082	5.9%
d	2624	5.0%
S	2207	4.2%
u	1897	3.6%
A	1798	3.5%
Other values (32)	18494	35.6%

Common

Value	Count	Frequency (%)
	3732	47.8%
;	3722	47.7%
/	168	2.2%
6	94	1.2%
8	47	0.6%
2	47	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	59824	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	5560	9.3%
e	4853	8.1%
o	4716	7.9%
	3732	6.2%
;	3722	6.2%
i	3670	6.1%
n	3113	5.2%
s	3082	5.2%
d	2624	4.4%
S	2207	3.7%
Other values (38)	22545	37.7%

PlatformDesireNextYear
Categorical

HIGH CARDINALITY
MISSING

Distinct	938
Distinct (%)	49.1%
Missing	1037
Missing (%)	35.2%
Memory size	23.1 KiB

Linux	109
Windows Desktop or Server	56
Linux;Windows Desktop or Server	50
Android	45
AWS	45
Other values (933)	1604

Length

Max length	302
Median length	29
Mean length	34.64798324
Min length	3

Characters and Unicode

Total characters	66143
Distinct characters	48
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	739 ?
Unique (%)	38.7%

Sample

1st row	AWS;Azure;Linux;Firebase
2nd row	Linux
3rd row	Azure
4th row	Arduino;Windows Desktop or Server
5th row	Linux

Common Values

Value	Count	Frequency (%)
Linux	109	3.7%
Windows Desktop or Server	56	1.9%
Linux;Windows Desktop or Server	50	1.7%
Android	45	1.5%
AWS	45	1.5%
AWS;Linux	43	1.5%
Firebase	30	1.0%
Azure	23	0.8%
Azure;Windows Desktop or Server	23	0.8%
Linux;Raspberry Pi	21	0.7%
Other values (928)	1464	49.7%
(Missing)	1037	35.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
or	625	10.5%
desktop	470	7.9%
server	365	6.1%
cloud	321	5.4%
platform/app	267	4.5%
pi	226	3.8%
amazon	171	2.9%
apple	134	2.2%
os;raspberry	112	1.9%
os	110	1.8%
Other values (674)	3170	53.1%

Most occurring characters

Value	Count	Frequency (%)
r	5497	8.3%
e	5227	7.9%
o	5118	7.7%
;	4502	6.8%
	4062	6.1%
i	4004	6.1%
n	3376	5.1%
s	2812	4.3%
d	2579	3.9%
A	2460	3.7%
Other values (38)	26506	40.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	44571	67.4%
Uppercase Letter	12509	18.9%
Other Punctuation	4769	7.2%
Space Separator	4062	6.1%
Decimal Number	232	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	5497	12.3%
e	5227	11.7%
o	5118	11.5%
i	4004	9.0%
n	3376	7.6%
s	2812	6.3%
d	2579	5.8%
a	2064	4.6%
u	1971	4.4%
p	1940	4.4%
Other values (14)	9983	22.4%

Uppercase Letter

Value	Count	Frequency (%)
A	2460	19.7%
S	2209	17.7%
W	1431	11.4%
P	1068	8.5%
L	868	6.9%
O	753	6.0%
D	510	4.1%
G	498	4.0%
E	496	4.0%
R	492	3.9%
Other values (8)	1724	13.8%

Decimal Number

Value	Count	Frequency (%)
6	116	50.0%
8	58	25.0%
2	58	25.0%

Other Punctuation

Value	Count	Frequency (%)
;	4502	94.4%
/	267	5.6%

Space Separator

Value	Count	Frequency (%)
	4062	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	57080	86.3%
Common	9063	13.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	5497	9.6%
e	5227	9.2%
o	5118	9.0%
i	4004	7.0%
n	3376	5.9%
s	2812	4.9%
d	2579	4.5%
A	2460	4.3%
S	2209	3.9%
a	2064	3.6%
Other values (32)	21734	38.1%

Common

Value	Count	Frequency (%)
;	4502	49.7%
	4062	44.8%
/	267	2.9%
6	116	1.3%
8	58	0.6%
2	58	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66143	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	5497	8.3%
e	5227	7.9%
o	5118	7.7%
;	4502	6.8%
	4062	6.1%
i	4004	6.1%
n	3376	5.1%
s	2812	4.3%
d	2579	3.9%
A	2460	3.7%
Other values (38)	26506	40.1%

FrameworkWorkedWith
Categorical

HIGH CARDINALITY
MISSING

Distinct	216
Distinct (%)	13.2%
Missing	1313
Missing (%)	44.6%
Memory size	23.1 KiB

.NET Core	143
Spring	113
Node.js	110
Node.js;React	99
Angular	93
Other values (211)	1075

Length

Max length	72
Median length	14
Mean length	15.32210655
Min length	5

Characters and Unicode

Total characters	25021
Distinct characters	37
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	116 ?
Unique (%)	7.1%

Sample

1st row	Django;React
2nd row	Django
3rd row	Angular;Node.js
4th row	Node.js;React
5th row	Angular;Node.js

Common Values

Value	Count	Frequency (%)
.NET Core	143	4.9%
Spring	113	3.8%
Node.js	110	3.7%
Node.js;React	99	3.4%
Angular	93	3.2%
Angular;Node.js	92	3.1%
React	61	2.1%
Django	52	1.8%
Angular;Node.js;React	48	1.6%
Angular;.NET Core	47	1.6%
Other values (206)	775	26.3%
(Missing)	1313	44.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
net	289	13.8%
core	190	9.1%
angular;.net	174	8.3%
spring	113	5.4%
node.js	110	5.2%
node.js;react	99	4.7%
angular	93	4.4%
angular;node.js	92	4.4%
core;node.js	71	3.4%
react	61	2.9%
Other values (190)	804	38.4%

Most occurring characters

Value	Count	Frequency (%)
o	2125	8.5%
r	1918	7.7%
e	1791	7.2%
a	1779	7.1%
;	1715	6.9%
n	1370	5.5%
N	1221	4.9%
.	1221	4.9%
g	1132	4.5%
d	957	3.8%
Other values (27)	9792	39.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16669	66.6%
Uppercase Letter	4924	19.7%
Other Punctuation	2965	11.9%
Space Separator	463	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	2125	12.7%
r	1918	11.5%
e	1791	10.7%
a	1779	10.7%
n	1370	8.2%
g	1132	6.8%
d	957	5.7%
j	948	5.7%
s	887	5.3%
l	772	4.6%
Other values (11)	2990	17.9%

Uppercase Letter

Value	Count	Frequency (%)
N	1221	24.8%
T	650	13.2%
A	643	13.1%
C	592	12.0%
E	463	9.4%
R	441	9.0%
S	387	7.9%
D	190	3.9%
F	129	2.6%
X	109	2.2%
Other values (2)	99	2.0%

Other Punctuation

Value	Count	Frequency (%)
;	1715	57.8%
.	1221	41.2%
/	29	1.0%

Space Separator

Value	Count	Frequency (%)
	463	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21593	86.3%
Common	3428	13.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	2125	9.8%
r	1918	8.9%
e	1791	8.3%
a	1779	8.2%
n	1370	6.3%
N	1221	5.7%
g	1132	5.2%
d	957	4.4%
j	948	4.4%
s	887	4.1%
Other values (23)	7465	34.6%

Common

Value	Count	Frequency (%)
;	1715	50.0%
.	1221	35.6%
	463	13.5%
/	29	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25021	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	2125	8.5%
r	1918	7.7%
e	1791	7.2%
a	1779	7.1%
;	1715	6.9%
n	1370	5.5%
N	1221	4.9%
.	1221	4.9%
g	1132	4.5%
d	957	3.8%
Other values (27)	9792	39.1%

FrameworkDesireNextYear
Categorical

HIGH CARDINALITY
MISSING

Distinct	363
Distinct (%)	21.0%
Missing	1215
Missing (%)	41.2%
Memory size	23.1 KiB

Node.js;React	113
.NET Core	97
Node.js	80
TensorFlow	70
React	68
Other values (358)	1303

Length

Max length	99
Median length	17
Mean length	19.96533795
Min length	5

Characters and Unicode

Total characters	34560
Distinct characters	37
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	204 ?
Unique (%)	11.8%

Sample

1st row	Django;React
2nd row	React
3rd row	Angular;.NET Core;React
4th row	Node.js
5th row	React;TensorFlow

Common Values

Value	Count	Frequency (%)
Node.js;React	113	3.8%
.NET Core	97	3.3%
Node.js	80	2.7%
TensorFlow	70	2.4%
React	68	2.3%
Angular;Node.js;React	63	2.1%
Angular;Node.js	49	1.7%
Spring	44	1.5%
Django	41	1.4%
Angular	35	1.2%
Other values (353)	1071	36.4%
(Missing)	1215	41.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
net	280	12.5%
angular;.net	228	10.2%
core	125	5.6%
node.js;react	113	5.0%
node.js	80	3.6%
tensorflow	70	3.1%
react	68	3.0%
angular;node.js;react	63	2.8%
core;node.js	61	2.7%
angular;node.js	49	2.2%
Other values (331)	1102	49.2%

Most occurring characters

Value	Count	Frequency (%)
o	3376	9.8%
;	2747	7.9%
e	2561	7.4%
r	2524	7.3%
a	2510	7.3%
n	1755	5.1%
.	1363	3.9%
N	1363	3.9%
s	1303	3.8%
T	1178	3.4%
Other values (27)	13880	40.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23159	67.0%
Uppercase Letter	6672	19.3%
Other Punctuation	4221	12.2%
Space Separator	508	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3376	14.6%
e	2561	11.1%
r	2524	10.9%
a	2510	10.8%
n	1755	7.6%
s	1303	5.6%
d	1176	5.1%
g	1110	4.8%
j	1108	4.8%
l	1062	4.6%
Other values (11)	4674	20.2%

Uppercase Letter

Value	Count	Frequency (%)
N	1363	20.4%
T	1178	17.7%
R	750	11.2%
C	622	9.3%
A	614	9.2%
E	508	7.6%
F	448	6.7%
S	421	6.3%
D	253	3.8%
H	207	3.1%
Other values (2)	308	4.6%

Other Punctuation

Value	Count	Frequency (%)
;	2747	65.1%
.	1363	32.3%
/	111	2.6%

Space Separator

Value	Count	Frequency (%)
	508	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29831	86.3%
Common	4729	13.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3376	11.3%
e	2561	8.6%
r	2524	8.5%
a	2510	8.4%
n	1755	5.9%
N	1363	4.6%
s	1303	4.4%
T	1178	3.9%
d	1176	3.9%
g	1110	3.7%
Other values (23)	10975	36.8%

Common

Value	Count	Frequency (%)
;	2747	58.1%
.	1363	28.8%
	508	10.7%
/	111	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3376	9.8%
;	2747	7.9%
e	2561	7.4%
r	2524	7.3%
a	2510	7.3%
n	1755	5.1%
.	1363	3.9%
N	1363	3.9%
s	1303	3.8%
T	1178	3.4%
Other values (27)	13880	40.2%

IDE
Categorical

HIGH CARDINALITY
MISSING

Distinct	839
Distinct (%)	35.6%
Missing	586
Missing (%)	19.9%
Memory size	23.1 KiB

Visual Studio;Visual Studio Code	83
Notepad++;Visual Studio;Visual Studio Code	82
Notepad++;Visual Studio	75
Visual Studio	66
Visual Studio Code	64
Other values (834)	1990

Length

Max length	130
Median length	28
Mean length	30.99533898
Min length	3

Characters and Unicode

Total characters	73149
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	558 ?
Unique (%)	23.6%

Sample

1st row	Komodo;Vim;Visual Studio Code
2nd row	IPython / Jupyter;Sublime Text;Vim
3rd row	Visual Studio;Visual Studio Code
4th row	Notepad++;Visual Studio;Visual Studio Code
5th row	IntelliJ;PyCharm;Visual Studio Code

Common Values

Value	Count	Frequency (%)
Visual Studio;Visual Studio Code	83	2.8%
Notepad++;Visual Studio;Visual Studio Code	82	2.8%
Notepad++;Visual Studio	75	2.5%
Visual Studio	66	2.2%
Visual Studio Code	64	2.2%
Vim	60	2.0%
Sublime Text	46	1.6%
Atom	31	1.1%
Sublime Text;Visual Studio Code	28	1.0%
IntelliJ;Vim	25	0.8%
Other values (829)	1800	61.1%
(Missing)	586	19.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
studio	1258	19.8%
code	782	12.3%
studio;visual	452	7.1%
android	409	6.4%
text;visual	244	3.8%
visual	228	3.6%
text	220	3.5%
notepad++;visual	170	2.7%
	161	2.5%
sublime	159	2.5%
Other values (545)	2273	35.8%

Most occurring characters

Value	Count	Frequency (%)
i	6624	9.1%
t	5384	7.4%
o	5302	7.2%
d	4941	6.8%
e	4830	6.6%
u	4773	6.5%
;	4501	6.2%
	3996	5.5%
l	3943	5.4%
S	3065	4.2%
Other values (31)	25790	35.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50337	68.8%
Uppercase Letter	12554	17.2%
Other Punctuation	4662	6.4%
Space Separator	3996	5.5%
Math Symbol	1600	2.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	6624	13.2%
t	5384	10.7%
o	5302	10.5%
d	4941	9.8%
e	4830	9.6%
u	4773	9.5%
l	3943	7.8%
a	3045	6.0%
s	2347	4.7%
m	2260	4.5%
Other values (9)	6888	13.7%

Uppercase Letter

Value	Count	Frequency (%)
S	3065	24.4%
V	2336	18.6%
C	1131	9.0%
N	969	7.7%
A	817	6.5%
P	794	6.3%
I	740	5.9%
J	740	5.9%
T	710	5.7%
E	473	3.8%
Other values (8)	779	6.2%

Other Punctuation

Value	Count	Frequency (%)
;	4501	96.5%
/	161	3.5%

Space Separator

Value	Count	Frequency (%)
	3996	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1600	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	62891	86.0%
Common	10258	14.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	6624	10.5%
t	5384	8.6%
o	5302	8.4%
d	4941	7.9%
e	4830	7.7%
u	4773	7.6%
l	3943	6.3%
S	3065	4.9%
a	3045	4.8%
s	2347	3.7%
Other values (27)	18637	29.6%

Common

Value	Count	Frequency (%)
;	4501	43.9%
	3996	39.0%
+	1600	15.6%
/	161	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	73149	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	6624	9.1%
t	5384	7.4%
o	5302	7.2%
d	4941	6.8%
e	4830	6.6%
u	4773	6.5%
;	4501	6.2%
	3996	5.5%
l	3943	5.4%
S	3065	4.2%
Other values (31)	25790	35.3%

OperatingSystem
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.2%
Missing	569
Missing (%)	19.3%
Memory size	23.1 KiB

Windows	1151
MacOS	683
Linux-based	538
BSD/Unix	5

Length

Max length	11
Median length	7
Mean length	7.332772402
Min length	5

Characters and Unicode

Total characters	17430
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Linux-based
2nd row	Linux-based
3rd row	Windows
4th row	Windows
5th row	Linux-based

Common Values

Value	Count	Frequency (%)
Windows	1151	39.1%
MacOS	683	23.2%
Linux-based	538	18.3%
BSD/Unix	5	0.2%
(Missing)	569	19.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
windows	1151	48.4%
macos	683	28.7%
linux-based	538	22.6%
bsd/unix	5	0.2%

Most occurring characters

Value	Count	Frequency (%)
i	1694	9.7%
n	1694	9.7%
s	1689	9.7%
d	1689	9.7%
a	1221	7.0%
W	1151	6.6%
o	1151	6.6%
w	1151	6.6%
S	688	3.9%
M	683	3.9%
Other values (12)	4619	26.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13129	75.3%
Uppercase Letter	3758	21.6%
Dash Punctuation	538	3.1%
Other Punctuation	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	1694	12.9%
n	1694	12.9%
s	1689	12.9%
d	1689	12.9%
a	1221	9.3%
o	1151	8.8%
w	1151	8.8%
c	683	5.2%
x	543	4.1%
u	538	4.1%
Other values (2)	1076	8.2%

Uppercase Letter

Value	Count	Frequency (%)
W	1151	30.6%
S	688	18.3%
M	683	18.2%
O	683	18.2%
L	538	14.3%
B	5	0.1%
D	5	0.1%
U	5	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	538	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16887	96.9%
Common	543	3.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	1694	10.0%
n	1694	10.0%
s	1689	10.0%
d	1689	10.0%
a	1221	7.2%
W	1151	6.8%
o	1151	6.8%
w	1151	6.8%
S	688	4.1%
M	683	4.0%
Other values (10)	4076	24.1%

Common

Value	Count	Frequency (%)
-	538	99.1%
/	5	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	1694	9.7%
n	1694	9.7%
s	1689	9.7%
d	1689	9.7%
a	1221	7.0%
W	1151	6.6%
o	1151	6.6%
w	1151	6.6%
S	688	3.9%
M	683	3.9%
Other values (12)	4619	26.5%

Methodology
Categorical

HIGH CARDINALITY
MISSING

Distinct	155
Distinct (%)	7.8%
Missing	955
Missing (%)	32.4%
Memory size	23.1 KiB

Agile;Scrum	344
Agile	296
Agile;Kanban;Scrum	204
Agile;Kanban;Pair programming;Scrum	90
Scrum	82
Other values (150)	975

Length

Max length	192
Median length	18
Mean length	32.89050728
Min length	4

Characters and Unicode

Total characters	65485
Distinct characters	47
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	63 ?
Unique (%)	3.2%

Sample

1st row	Agile;Scrum
2nd row	Agile;Kanban;Scrum
3rd row	Evidence-based software engineering;Formal standard such as ISO 9001 or IEEE 12207 (aka �waterfall� methodologies)
4th row	Agile
5th row	Agile;Scrum

Common Values

Value	Count	Frequency (%)
Agile;Scrum	344	11.7%
Agile	296	10.0%
Agile;Kanban;Scrum	204	6.9%
Agile;Kanban;Pair programming;Scrum	90	3.1%
Scrum	82	2.8%
Agile;Pair programming;Scrum	78	2.6%
Agile;Kanban	72	2.4%
Agile;Pair programming	44	1.5%
Agile;Formal standard such as ISO 9001 or IEEE 12207 (aka �waterfall� methodologies);Scrum	42	1.4%
Agile;Extreme programming (XP);Kanban;Pair programming;Scrum	35	1.2%
Other values (145)	704	23.9%
(Missing)	955	32.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
programming	444	6.8%
programming;scrum	403	6.2%
agile;scrum	344	5.3%
agile	296	4.5%
or	293	4.5%
9001	293	4.5%
standard	293	4.5%
12207	293	4.5%
iso	293	4.5%
�waterfall�	293	4.5%
Other values (83)	3290	50.3%

Most occurring characters

Value	Count	Frequency (%)
a	5630	8.6%
r	5227	8.0%
	4544	6.9%
g	3951	6.0%
m	3938	6.0%
e	3831	5.9%
i	3681	5.6%
;	3217	4.9%
n	3168	4.8%
l	2884	4.4%
Other values (37)	25414	38.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	45351	69.3%
Uppercase Letter	7919	12.1%
Space Separator	4544	6.9%
Other Punctuation	3217	4.9%
Decimal Number	2659	4.1%
Other Symbol	586	0.9%
Open Punctuation	568	0.9%
Close Punctuation	568	0.9%
Dash Punctuation	73	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	5630	12.4%
r	5227	11.5%
g	3951	8.7%
m	3938	8.7%
e	3831	8.4%
i	3681	8.1%
n	3168	7.0%
l	2884	6.4%
o	2506	5.5%
c	1643	3.6%
Other values (12)	8892	19.6%

Uppercase Letter

Value	Count	Frequency (%)
A	1712	21.6%
S	1570	19.8%
E	1249	15.8%
P	854	10.8%
K	752	9.5%
I	608	7.7%
F	293	3.7%
O	293	3.7%
X	275	3.5%
L	179	2.3%
Other values (4)	134	1.7%

Decimal Number

Value	Count	Frequency (%)
0	879	33.1%
2	608	22.9%
1	586	22.0%
9	293	11.0%
7	293	11.0%

Other Punctuation

Value	Count	Frequency (%)
;	3217	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	73	100.0%

Space Separator

Value	Count	Frequency (%)
	4544	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	568	100.0%

Other Symbol

Value	Count	Frequency (%)
�	586	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	568	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	53270	81.3%
Common	12215	18.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	5630	10.6%
r	5227	9.8%
g	3951	7.4%
m	3938	7.4%
e	3831	7.2%
i	3681	6.9%
n	3168	5.9%
l	2884	5.4%
o	2506	4.7%
A	1712	3.2%
Other values (26)	16742	31.4%

Common

Value	Count	Frequency (%)
	4544	37.2%
;	3217	26.3%
0	879	7.2%
2	608	5.0%
1	586	4.8%
�	586	4.8%
(	568	4.7%
)	568	4.7%
9	293	2.4%
7	293	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64899	99.1%
Specials	586	0.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	5630	8.7%
r	5227	8.1%
	4544	7.0%
g	3951	6.1%
m	3938	6.1%
e	3831	5.9%
i	3681	5.7%
;	3217	5.0%
n	3168	4.9%
l	2884	4.4%
Other values (36)	24828	38.3%

Specials

Value	Count	Frequency (%)
�	586	100.0%

VersionControl
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	49
Distinct (%)	2.1%
Missing	614
Missing (%)	20.8%
Memory size	23.1 KiB

Git	1379
Git;Subversion	223
Git;Team Foundation Version Control	164
Subversion	80
Team Foundation Version Control	69
Other values (44)	417

Length

Max length	108
Median length	3
Mean length	14.0754717
Min length	3

Characters and Unicode

Total characters	32824
Distinct characters	35
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	0.6%

Sample

1st row	Git
2nd row	Git;Subversion
3rd row	Git
4th row	Zip file back-ups
5th row	Git

Common Values

Value	Count	Frequency (%)
Git	1379	46.8%
Git;Subversion	223	7.6%
Git;Team Foundation Version Control	164	5.6%
Subversion	80	2.7%
Team Foundation Version Control	69	2.3%
I don't use version control	53	1.8%
Git;Mercurial	49	1.7%
Git;Copying and pasting files to network shares	45	1.5%
Git;Zip file back-ups	39	1.3%
Git;Copying and pasting files to network shares;Zip file back-ups	32	1.1%
Other values (39)	199	6.8%
(Missing)	614	20.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
git	1379	28.6%
version	370	7.7%
control	335	7.0%
foundation	307	6.4%
git;subversion	223	4.6%
git;team	176	3.7%
network	169	3.5%
pasting	169	3.5%
files	169	3.5%
and	169	3.5%
Other values (36)	1351	28.0%

Most occurring characters

Value	Count	Frequency (%)
i	4010	12.2%
t	3286	10.0%
o	2698	8.2%
n	2497	7.6%
	2485	7.6%
G	2039	6.2%
e	1885	5.7%
s	1662	5.1%
r	1652	5.0%
a	1355	4.1%
Other values (25)	9255	28.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	25106	76.5%
Uppercase Letter	4137	12.6%
Space Separator	2485	7.6%
Other Punctuation	947	2.9%
Dash Punctuation	149	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	4010	16.0%
t	3286	13.1%
o	2698	10.7%
n	2497	9.9%
e	1885	7.5%
s	1662	6.6%
r	1652	6.6%
a	1355	5.4%
u	1008	4.0%
l	773	3.1%
Other values (12)	4280	17.0%

Uppercase Letter

Value	Count	Frequency (%)
G	2039	49.3%
C	476	11.5%
S	404	9.8%
T	307	7.4%
F	307	7.4%
V	307	7.4%
Z	149	3.6%
M	85	2.1%
I	63	1.5%

Other Punctuation

Value	Count	Frequency (%)
;	884	93.3%
'	63	6.7%

Space Separator

Value	Count	Frequency (%)
	2485	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	149	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29243	89.1%
Common	3581	10.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	4010	13.7%
t	3286	11.2%
o	2698	9.2%
n	2497	8.5%
G	2039	7.0%
e	1885	6.4%
s	1662	5.7%
r	1652	5.6%
a	1355	4.6%
u	1008	3.4%
Other values (21)	7151	24.5%

Common

Value	Count	Frequency (%)
	2485	69.4%
;	884	24.7%
-	149	4.2%
'	63	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32824	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	4010	12.2%
t	3286	10.0%
o	2698	8.2%
n	2497	7.6%
	2485	7.6%
G	2039	6.2%
e	1885	5.7%
s	1662	5.1%
r	1652	5.0%
a	1355	4.1%
Other values (25)	9255	28.2%

CheckInCode
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.3%
Missing	627
Missing (%)	21.3%
Memory size	23.1 KiB

Multiple times per day	1485
A few times per week	406
Once a day	212
Weekly or a few times per month	139
Less than once per month	51

Length

Max length	31
Median length	22
Mean length	20.94566624
Min length	5

Characters and Unicode

Total characters	48573
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Multiple times per day
2nd row	A few times per week
3rd row	Multiple times per day
4th row	Weekly or a few times per month
5th row	A few times per week

Common Values

Value	Count	Frequency (%)
Multiple times per day	1485	50.4%
A few times per week	406	13.8%
Once a day	212	7.2%
Weekly or a few times per month	139	4.7%
Less than once per month	51	1.7%
Never	26	0.9%
(Missing)	627	21.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
per	2081	21.1%
times	2030	20.6%
day	1697	17.2%
multiple	1485	15.1%
a	757	7.7%
few	545	5.5%
week	406	4.1%
once	263	2.7%
month	190	1.9%
weekly	139	1.4%
Other values (4)	267	2.7%

Most occurring characters

Value	Count	Frequency (%)
e	7597	15.6%
	7541	15.5%
t	3756	7.7%
p	3566	7.3%
i	3515	7.2%
l	3109	6.4%
r	2246	4.6%
m	2220	4.6%
s	2132	4.4%
a	2099	4.3%
Other values (17)	10792	22.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38713	79.7%
Space Separator	7541	15.5%
Uppercase Letter	2319	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	7597	19.6%
t	3756	9.7%
p	3566	9.2%
i	3515	9.1%
l	3109	8.0%
r	2246	5.8%
m	2220	5.7%
s	2132	5.5%
a	2099	5.4%
y	1836	4.7%
Other values (10)	6637	17.1%

Uppercase Letter

Value	Count	Frequency (%)
M	1485	64.0%
A	406	17.5%
O	212	9.1%
W	139	6.0%
L	51	2.2%
N	26	1.1%

Space Separator

Value	Count	Frequency (%)
	7541	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41032	84.5%
Common	7541	15.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	7597	18.5%
t	3756	9.2%
p	3566	8.7%
i	3515	8.6%
l	3109	7.6%
r	2246	5.5%
m	2220	5.4%
s	2132	5.2%
a	2099	5.1%
y	1836	4.5%
Other values (16)	8956	21.8%

Common

Value	Count	Frequency (%)
	7541	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48573	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	7597	15.6%
	7541	15.5%
t	3756	7.7%
p	3566	7.3%
i	3515	7.2%
l	3109	6.4%
r	2246	4.6%
m	2220	4.6%
s	2132	4.4%
a	2099	4.3%
Other values (17)	10792	22.2%

AIDangerous
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.2%
Missing	946
Missing (%)	32.1%
Memory size	23.1 KiB

Algorithms making important decisions	598
Artificial intelligence surpassing human intelligence ("the singularity")	528
Evolving definitions of "fairness" in algorithmic versus human decisions	482
Increasing automation of jobs	392

Length

Max length	73
Median length	72
Mean length	53.371
Min length	29

Characters and Unicode

Total characters	106742
Distinct characters	29
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Artificial intelligence surpassing human intelligence ("the singularity")
2nd row	Increasing automation of jobs
3rd row	Artificial intelligence surpassing human intelligence ("the singularity")
4th row	Algorithms making important decisions
5th row	Increasing automation of jobs

Common Values

Value	Count	Frequency (%)
Algorithms making important decisions	598	20.3%
Artificial intelligence surpassing human intelligence ("the singularity")	528	17.9%
Evolving definitions of "fairness" in algorithmic versus human decisions	482	16.4%
Increasing automation of jobs	392	13.3%
(Missing)	946	32.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
decisions	1080	9.0%
intelligence	1056	8.8%
human	1010	8.4%
of	874	7.3%
algorithms	598	5.0%
making	598	5.0%
important	598	5.0%
surpassing	528	4.4%
artificial	528	4.4%
singularity	528	4.4%
Other values (10)	4596	38.3%

Most occurring characters

Value	Count	Frequency (%)
i	13874	13.0%
n	10040	9.4%
	9994	9.4%
s	8064	7.6%
e	6614	6.2%
t	6182	5.8%
a	5930	5.6%
o	5772	5.4%
l	4730	4.4%
g	4664	4.4%
Other values (19)	30878	28.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	91672	85.9%
Space Separator	9994	9.4%
Other Punctuation	2020	1.9%
Uppercase Letter	2000	1.9%
Open Punctuation	528	0.5%
Close Punctuation	528	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	13874	15.1%
n	10040	11.0%
s	8064	8.8%
e	6614	7.2%
t	6182	6.7%
a	5930	6.5%
o	5772	6.3%
l	4730	5.2%
g	4664	5.1%
r	4618	5.0%
Other values (12)	21184	23.1%

Uppercase Letter

Value	Count	Frequency (%)
A	1126	56.3%
E	482	24.1%
I	392	19.6%

Space Separator

Value	Count	Frequency (%)
	9994	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	528	100.0%

Other Punctuation

Value	Count	Frequency (%)
"	2020	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	528	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	93672	87.8%
Common	13070	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	13874	14.8%
n	10040	10.7%
s	8064	8.6%
e	6614	7.1%
t	6182	6.6%
a	5930	6.3%
o	5772	6.2%
l	4730	5.0%
g	4664	5.0%
r	4618	4.9%
Other values (15)	23184	24.8%

Common

Value	Count	Frequency (%)
	9994	76.5%
"	2020	15.5%
(	528	4.0%
)	528	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	106742	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	13874	13.0%
n	10040	9.4%
	9994	9.4%
s	8064	7.6%
e	6614	6.2%
t	6182	5.8%
a	5930	5.6%
o	5772	5.4%
l	4730	4.4%
g	4664	4.4%
Other values (19)	30878	28.9%

AIInteresting
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.2%
Missing	870
Missing (%)	29.5%
Memory size	23.1 KiB

Increasing automation of jobs	871
Artificial intelligence surpassing human intelligence ("the singularity")	478
Algorithms making important decisions	469
Evolving definitions of "fairness" in algorithmic versus human decisions	258

Length

Max length	73
Median length	37
Mean length	46.2822736
Min length	29

Characters and Unicode

Total characters	96082
Distinct characters	29
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Algorithms making important decisions
2nd row	Increasing automation of jobs
3rd row	Artificial intelligence surpassing human intelligence ("the singularity")
4th row	Algorithms making important decisions
5th row	Algorithms making important decisions

Common Values

Value	Count	Frequency (%)
Increasing automation of jobs	871	29.6%
Artificial intelligence surpassing human intelligence ("the singularity")	478	16.2%
Algorithms making important decisions	469	15.9%
Evolving definitions of "fairness" in algorithmic versus human decisions	258	8.8%
(Missing)	870	29.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
of	1129	10.2%
intelligence	956	8.7%
increasing	871	7.9%
automation	871	7.9%
jobs	871	7.9%
human	736	6.7%
decisions	727	6.6%
the	478	4.3%
singularity	478	4.3%
surpassing	478	4.3%
Other values (10)	3433	31.1%

Most occurring characters

Value	Count	Frequency (%)
i	11447	11.9%
n	9172	9.5%
	8952	9.3%
s	6867	7.1%
a	6237	6.5%
o	6181	6.4%
t	6055	6.3%
e	5718	6.0%
g	4237	4.4%
r	4017	4.2%
Other values (19)	27199	28.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82626	86.0%
Space Separator	8952	9.3%
Uppercase Letter	2076	2.2%
Other Punctuation	1472	1.5%
Open Punctuation	478	0.5%
Close Punctuation	478	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	11447	13.9%
n	9172	11.1%
s	6867	8.3%
a	6237	7.5%
o	6181	7.5%
t	6055	7.3%
e	5718	6.9%
g	4237	5.1%
r	4017	4.9%
l	3853	4.7%
Other values (12)	18842	22.8%

Uppercase Letter

Value	Count	Frequency (%)
A	947	45.6%
I	871	42.0%
E	258	12.4%

Space Separator

Value	Count	Frequency (%)
	8952	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	478	100.0%

Other Punctuation

Value	Count	Frequency (%)
"	1472	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	478	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	84702	88.2%
Common	11380	11.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	11447	13.5%
n	9172	10.8%
s	6867	8.1%
a	6237	7.4%
o	6181	7.3%
t	6055	7.1%
e	5718	6.8%
g	4237	5.0%
r	4017	4.7%
l	3853	4.5%
Other values (15)	20918	24.7%

Common

Value	Count	Frequency (%)
	8952	78.7%
"	1472	12.9%
(	478	4.2%
)	478	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96082	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	11447	11.9%
n	9172	9.5%
	8952	9.3%
s	6867	7.1%
a	6237	6.5%
o	6181	6.4%
t	6055	6.3%
e	5718	6.0%
g	4237	4.4%
r	4017	4.2%
Other values (19)	27199	28.3%

AIResponsible
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.2%
Missing	876
Missing (%)	29.7%
Memory size	23.1 KiB

The developers or the people creating the AI	992
A governmental or other regulatory body	597
Prominent industry leaders	316
Nobody	165

Length

Max length	44
Median length	39
Mean length	36.78115942
Min length	6

Characters and Unicode

Total characters	76137
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	The developers or the people creating the AI
2nd row	The developers or the people creating the AI
3rd row	A governmental or other regulatory body
4th row	The developers or the people creating the AI
5th row	A governmental or other regulatory body

Common Values

Value	Count	Frequency (%)
The developers or the people creating the AI	992	33.7%
A governmental or other regulatory body	597	20.3%
Prominent industry leaders	316	10.7%
Nobody	165	5.6%
(Missing)	876	29.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
the	2976	23.6%
or	1589	12.6%
developers	992	7.9%
creating	992	7.9%
ai	992	7.9%
people	992	7.9%
governmental	597	4.7%
a	597	4.7%
body	597	4.7%
other	597	4.7%
Other values (5)	1710	13.5%

Most occurring characters

Value	Count	Frequency (%)
e	12264	16.1%
	10561	13.9%
r	6909	9.1%
o	6607	8.7%
t	5399	7.1%
h	3573	4.7%
l	3494	4.6%
n	3134	4.1%
p	2976	3.9%
a	2502	3.3%
Other values (15)	18718	24.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	61522	80.8%
Space Separator	10561	13.9%
Uppercase Letter	4054	5.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12264	19.9%
r	6909	11.2%
o	6607	10.7%
t	5399	8.8%
h	3573	5.8%
l	3494	5.7%
n	3134	5.1%
p	2976	4.8%
a	2502	4.1%
d	2386	3.9%
Other values (9)	12278	20.0%

Uppercase Letter

Value	Count	Frequency (%)
A	1589	39.2%
T	992	24.5%
I	992	24.5%
P	316	7.8%
N	165	4.1%

Space Separator

Value	Count	Frequency (%)
	10561	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	65576	86.1%
Common	10561	13.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12264	18.7%
r	6909	10.5%
o	6607	10.1%
t	5399	8.2%
h	3573	5.4%
l	3494	5.3%
n	3134	4.8%
p	2976	4.5%
a	2502	3.8%
d	2386	3.6%
Other values (14)	16332	24.9%

Common

Value	Count	Frequency (%)
	10561	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	76137	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12264	16.1%
	10561	13.9%
r	6909	9.1%
o	6607	8.7%
t	5399	7.1%
h	3573	4.7%
l	3494	4.6%
n	3134	4.1%
p	2976	3.9%
a	2502	3.3%
Other values (15)	18718	24.6%

AIFuture
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.1%
Missing	750
Missing (%)	25.5%
Memory size	23.1 KiB

I'm excited about the possibilities more than worried about the dangers.	1601
I'm worried about the dangers more than I'm excited about the possibilities.	402
I don't care about it, or I haven't thought about it.	193

Length

Max length	76
Median length	72
Mean length	71.06238616
Min length	53

Characters and Unicode

Total characters	156053
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	I'm excited about the possibilities more than worried about the dangers.
2nd row	I'm excited about the possibilities more than worried about the dangers.
3rd row	I don't care about it, or I haven't thought about it.
4th row	I'm excited about the possibilities more than worried about the dangers.
5th row	I'm excited about the possibilities more than worried about the dangers.

Common Values

Value	Count	Frequency (%)
I'm excited about the possibilities more than worried about the dangers.	1601	54.3%
I'm worried about the dangers more than I'm excited about the possibilities.	402	13.6%
I don't care about it, or I haven't thought about it.	193	6.6%
(Missing)	750	25.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
about	4392	17.9%
the	4006	16.3%
i'm	2405	9.8%
more	2003	8.2%
worried	2003	8.2%
excited	2003	8.2%
than	2003	8.2%
possibilities	2003	8.2%
dangers	2003	8.2%
i	386	1.6%
Other values (6)	1351	5.5%

Most occurring characters

Value	Count	Frequency (%)
	22362	14.3%
e	16410	10.5%
t	15565	10.0%
i	12404	7.9%
o	10980	7.0%
a	8784	5.6%
r	8398	5.4%
s	8012	5.1%
h	6588	4.2%
b	6395	4.1%
Other values (15)	40155	25.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	125720	80.6%
Space Separator	22362	14.3%
Other Punctuation	5180	3.3%
Uppercase Letter	2791	1.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	16410	13.1%
t	15565	12.4%
i	12404	9.9%
o	10980	8.7%
a	8784	7.0%
r	8398	6.7%
s	8012	6.4%
h	6588	5.2%
b	6395	5.1%
d	6202	4.9%
Other values (10)	25982	20.7%

Other Punctuation

Value	Count	Frequency (%)
'	2791	53.9%
.	2196	42.4%
,	193	3.7%

Uppercase Letter

Value	Count	Frequency (%)
I	2791	100.0%

Space Separator

Value	Count	Frequency (%)
	22362	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	128511	82.4%
Common	27542	17.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	16410	12.8%
t	15565	12.1%
i	12404	9.7%
o	10980	8.5%
a	8784	6.8%
r	8398	6.5%
s	8012	6.2%
h	6588	5.1%
b	6395	5.0%
d	6202	4.8%
Other values (11)	28773	22.4%

Common

Value	Count	Frequency (%)
	22362	81.2%
'	2791	10.1%
.	2196	8.0%
,	193	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	156053	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22362	14.3%
e	16410	10.5%
t	15565	10.0%
i	12404	7.9%
o	10980	7.0%
a	8784	5.6%
r	8398	5.4%
s	8012	5.1%
h	6588	4.2%
b	6395	4.1%
Other values (15)	40155	25.7%

Age
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.3%
Missing	919
Missing (%)	31.2%
Memory size	23.1 KiB

25 - 34 years old	1117
18 - 24 years old	421
35 - 44 years old	364
45 - 54 years old	93
55 - 64 years old	23

Length

Max length	18
Median length	17
Mean length	17.00444006
Min length	17

Characters and Unicode

Total characters	34468
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	25 - 34 years old
2nd row	35 - 44 years old
3rd row	35 - 44 years old
4th row	18 - 24 years old
5th row	18 - 24 years old

Common Values

Value	Count	Frequency (%)
25 - 34 years old	1117	37.9%
18 - 24 years old	421	14.3%
35 - 44 years old	364	12.4%
45 - 54 years old	93	3.2%
55 - 64 years old	23	0.8%
Under 18 years old	9	0.3%
(Missing)	919	31.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
years	2027	20.0%
old	2027	20.0%
	2018	19.9%
25	1117	11.0%
34	1117	11.0%
18	430	4.2%
24	421	4.2%
44	364	3.6%
35	364	3.6%
45	93	0.9%
Other values (4)	148	1.5%

Most occurring characters

Value	Count	Frequency (%)
	8099	23.5%
4	2475	7.2%
e	2036	5.9%
r	2036	5.9%
d	2036	5.9%
y	2027	5.9%
a	2027	5.9%
s	2027	5.9%
o	2027	5.9%
l	2027	5.9%
Other values (9)	7651	22.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16252	47.2%
Space Separator	8099	23.5%
Decimal Number	8090	23.5%
Dash Punctuation	2018	5.9%
Uppercase Letter	9	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2036	12.5%
r	2036	12.5%
d	2036	12.5%
y	2027	12.5%
a	2027	12.5%
s	2027	12.5%
o	2027	12.5%
l	2027	12.5%
n	9	0.1%

Decimal Number

Value	Count	Frequency (%)
4	2475	30.6%
5	1713	21.2%
2	1538	19.0%
3	1481	18.3%
1	430	5.3%
8	430	5.3%
6	23	0.3%

Space Separator

Value	Count	Frequency (%)
	8099	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2018	100.0%

Uppercase Letter

Value	Count	Frequency (%)
U	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18207	52.8%
Latin	16261	47.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2036	12.5%
r	2036	12.5%
d	2036	12.5%
y	2027	12.5%
a	2027	12.5%
s	2027	12.5%
o	2027	12.5%
l	2027	12.5%
U	9	0.1%
n	9	0.1%

Common

Value	Count	Frequency (%)
	8099	44.5%
4	2475	13.6%
-	2018	11.1%
5	1713	9.4%
2	1538	8.4%
3	1481	8.1%
1	430	2.4%
8	430	2.4%
6	23	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34468	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8099	23.5%
4	2475	7.2%
e	2036	5.9%
r	2036	5.9%
d	2036	5.9%
y	2027	5.9%
a	2027	5.9%
s	2027	5.9%
o	2027	5.9%
l	2027	5.9%
Other values (9)	7651	22.2%

term
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

36 months	2059
60 months	887

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	29460
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	36 months
2nd row	36 months
3rd row	60 months
4th row	60 months
5th row	60 months

Common Values

Value	Count	Frequency (%)
36 months	2059	69.9%
60 months	887	30.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
months	2946	50.0%
36	2059	34.9%
60	887	15.1%

Most occurring characters

Value	Count	Frequency (%)
	5892	20.0%
6	2946	10.0%
m	2946	10.0%
o	2946	10.0%
n	2946	10.0%
t	2946	10.0%
h	2946	10.0%
s	2946	10.0%
3	2059	7.0%
0	887	3.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17676	60.0%
Space Separator	5892	20.0%
Decimal Number	5892	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	2946	16.7%
o	2946	16.7%
n	2946	16.7%
t	2946	16.7%
h	2946	16.7%
s	2946	16.7%

Decimal Number

Value	Count	Frequency (%)
6	2946	50.0%
3	2059	34.9%
0	887	15.1%

Space Separator

Value	Count	Frequency (%)
	5892	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17676	60.0%
Common	11784	40.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	2946	16.7%
o	2946	16.7%
n	2946	16.7%
t	2946	16.7%
h	2946	16.7%
s	2946	16.7%

Common

Value	Count	Frequency (%)
	5892	50.0%
6	2946	25.0%
3	2059	17.5%
0	887	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29460	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5892	20.0%
6	2946	10.0%
m	2946	10.0%
o	2946	10.0%
n	2946	10.0%
t	2946	10.0%
h	2946	10.0%
s	2946	10.0%
3	2059	7.0%
0	887	3.0%

loan_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

Fully Paid	2154
Charged Off	456
Current	319
Late (31-120 days)	14
In Grace Period	2

Length

Max length	18
Median length	10
Mean length	9.873727088
Min length	7

Characters and Unicode

Total characters	29088
Distinct characters	32
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Fully Paid
2nd row	Fully Paid
3rd row	Fully Paid
4th row	Current
5th row	Fully Paid

Common Values

Value	Count	Frequency (%)
Fully Paid	2154	73.1%
Charged Off	456	15.5%
Current	319	10.8%
Late (31-120 days)	14	0.5%
In Grace Period	2	0.1%
Late (16-30 days)	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
fully	2154	38.5%
paid	2154	38.5%
off	456	8.2%
charged	456	8.2%
current	319	5.7%
late	15	0.3%
days	15	0.3%
31-120	14	0.3%
in	2	< 0.1%
period	2	< 0.1%
Other values (2)	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
l	4308	14.8%
	2644	9.1%
a	2642	9.1%
d	2627	9.0%
u	2473	8.5%
y	2169	7.5%
P	2156	7.4%
i	2156	7.4%
F	2154	7.4%
r	1098	3.8%
Other values (22)	4661	16.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20765	71.4%
Uppercase Letter	5560	19.1%
Space Separator	2644	9.1%
Decimal Number	74	0.3%
Open Punctuation	15	0.1%
Dash Punctuation	15	0.1%
Close Punctuation	15	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	4308	20.7%
a	2642	12.7%
d	2627	12.7%
u	2473	11.9%
y	2169	10.4%
i	2156	10.4%
r	1098	5.3%
f	912	4.4%
e	794	3.8%
h	456	2.2%
Other values (6)	1130	5.4%

Uppercase Letter

Value	Count	Frequency (%)
P	2156	38.8%
F	2154	38.7%
C	775	13.9%
O	456	8.2%
L	15	0.3%
I	2	< 0.1%
G	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	29	39.2%
3	15	20.3%
0	15	20.3%
2	14	18.9%
6	1	1.4%

Space Separator

Value	Count	Frequency (%)
	2644	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	15	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	15	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26325	90.5%
Common	2763	9.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	4308	16.4%
a	2642	10.0%
d	2627	10.0%
u	2473	9.4%
y	2169	8.2%
P	2156	8.2%
i	2156	8.2%
F	2154	8.2%
r	1098	4.2%
f	912	3.5%
Other values (13)	3630	13.8%

Common

Value	Count	Frequency (%)
	2644	95.7%
1	29	1.0%
(	15	0.5%
3	15	0.5%
-	15	0.5%
0	15	0.5%
)	15	0.5%
2	14	0.5%
6	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29088	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	4308	14.8%
	2644	9.1%
a	2642	9.1%
d	2627	9.0%
u	2473	8.5%
y	2169	7.5%
P	2156	7.4%
i	2156	7.4%
F	2154	7.4%
r	1098	3.8%
Other values (22)	4661	16.0%

pymnt_plan
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 KiB

False	2946

Common Values
Chart

Value	Count	Frequency (%)
False	2946	100.0%

orignal_website_directory
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	2946
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

https://lendingclub.com/browse/loanDetail.action?loan_id=68547583	1
https://lendingclub.com/browse/loanDetail.action?loan_id=66615787	1
https://lendingclub.com/browse/loanDetail.action?loan_id=68476668	1
https://lendingclub.com/browse/loanDetail.action?loan_id=68365168	1
https://lendingclub.com/browse/loanDetail.action?loan_id=68414215	1
Other values (2941)	2941

Length

Max length	65
Median length	65
Mean length	64.99864223
Min length	63

Characters and Unicode

Total characters	191486
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2946 ?
Unique (%)	100.0%

Sample

1st row	https://lendingclub.com/browse/loanDetail.action?loan_id=68407277
2nd row	https://lendingclub.com/browse/loanDetail.action?loan_id=68355089
3rd row	https://lendingclub.com/browse/loanDetail.action?loan_id=68341763
4th row	https://lendingclub.com/browse/loanDetail.action?loan_id=66310712
5th row	https://lendingclub.com/browse/loanDetail.action?loan_id=68476807

Common Values

Value	Count	Frequency (%)
https://lendingclub.com/browse/loanDetail.action?loan_id=68547583	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=66615787	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=68476668	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=68365168	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=68414215	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=68565921	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=68413334	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=68486598	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=68475401	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=68585518	1	< 0.1%
Other values (2936)	2936	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://lendingclub.com/browse/loandetail.action?loan_id=68545501	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=68425686	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=68445368	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=68547485	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=68513568	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=68356556	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=68585614	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=68616919	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=68576654	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=68465124	1	< 0.1%
Other values (2936)	2936	99.7%

Most occurring characters

Value	Count	Frequency (%)
l	14730	7.7%
n	14730	7.7%
o	14730	7.7%
t	11784	6.2%
/	11784	6.2%
i	11784	6.2%
a	11784	6.2%
e	8838	4.6%
c	8838	4.6%
s	5892	3.1%
Other values (25)	76592	40.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	135516	70.8%
Other Punctuation	23568	12.3%
Decimal Number	23564	12.3%
Uppercase Letter	2946	1.5%
Connector Punctuation	2946	1.5%
Math Symbol	2946	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	14730	10.9%
n	14730	10.9%
o	14730	10.9%
t	11784	8.7%
i	11784	8.7%
a	11784	8.7%
e	8838	6.5%
c	8838	6.5%
s	5892	4.3%
d	5892	4.3%
Other values (8)	26514	19.6%

Decimal Number

Value	Count	Frequency (%)
6	5318	22.6%
8	4024	17.1%
5	3112	13.2%
4	2553	10.8%
3	1804	7.7%
7	1525	6.5%
9	1331	5.6%
0	1330	5.6%
2	1303	5.5%
1	1264	5.4%

Other Punctuation

Value	Count	Frequency (%)
/	11784	50.0%
.	5892	25.0%
:	2946	12.5%
?	2946	12.5%

Uppercase Letter

Value	Count	Frequency (%)
D	2946	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2946	100.0%

Math Symbol

Value	Count	Frequency (%)
=	2946	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	138462	72.3%
Common	53024	27.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	14730	10.6%
n	14730	10.6%
o	14730	10.6%
t	11784	8.5%
i	11784	8.5%
a	11784	8.5%
e	8838	6.4%
c	8838	6.4%
s	5892	4.3%
d	5892	4.3%
Other values (9)	29460	21.3%

Common

Value	Count	Frequency (%)
/	11784	22.2%
.	5892	11.1%
6	5318	10.0%
8	4024	7.6%
5	3112	5.9%
:	2946	5.6%
?	2946	5.6%
_	2946	5.6%
=	2946	5.6%
4	2553	4.8%
Other values (6)	8557	16.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	191486	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	14730	7.7%
n	14730	7.7%
o	14730	7.7%
t	11784	6.2%
/	11784	6.2%
i	11784	6.2%
a	11784	6.2%
e	8838	4.6%
c	8838	4.6%
s	5892	3.1%
Other values (25)	76592	40.0%

purpose
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

debt_consolidation	1731
credit_card	718
home_improvement	160
other	149
major_purchase	55
Other values (7)	133

Length

Max length	18
Median length	18
Mean length	14.98574338
Min length	3

Characters and Unicode

Total characters	44148
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	debt_consolidation
2nd row	small_business
3rd row	home_improvement
4th row	debt_consolidation
5th row	major_purchase

Common Values

Value	Count	Frequency (%)
debt_consolidation	1731	58.8%
credit_card	718	24.4%
home_improvement	160	5.4%
other	149	5.1%
major_purchase	55	1.9%
small_business	33	1.1%
car	31	1.1%
medical	21	0.7%
vacation	17	0.6%
house	17	0.6%
Other values (2)	14	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
debt_consolidation	1731	58.8%
credit_card	718	24.4%
home_improvement	160	5.4%
other	149	5.1%
major_purchase	55	1.9%
small_business	33	1.1%
car	31	1.1%
medical	21	0.7%
vacation	17	0.6%
house	17	0.6%
Other values (2)	14	0.5%

Most occurring characters

Value	Count	Frequency (%)
o	5764	13.1%
d	4919	11.1%
t	4506	10.2%
i	4424	10.0%
n	3687	8.4%
c	3291	7.5%
e	3209	7.3%
_	2698	6.1%
a	2679	6.1%
s	1935	4.4%
Other values (12)	7036	15.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	41450	93.9%
Connector Punctuation	2698	6.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	5764	13.9%
d	4919	11.9%
t	4506	10.9%
i	4424	10.7%
n	3687	8.9%
c	3291	7.9%
e	3209	7.7%
a	2679	6.5%
s	1935	4.7%
r	1888	4.6%
Other values (11)	5148	12.4%

Connector Punctuation

Value	Count	Frequency (%)
_	2698	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41450	93.9%
Common	2698	6.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	5764	13.9%
d	4919	11.9%
t	4506	10.9%
i	4424	10.7%
n	3687	8.9%
c	3291	7.9%
e	3209	7.7%
a	2679	6.5%
s	1935	4.7%
r	1888	4.6%
Other values (11)	5148	12.4%

Common

Value	Count	Frequency (%)
_	2698	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44148	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	5764	13.1%
d	4919	11.1%
t	4506	10.2%
i	4424	10.0%
n	3687	8.4%
c	3291	7.5%
e	3209	7.3%
_	2698	6.1%
a	2679	6.1%
s	1935	4.4%
Other values (12)	7036	15.9%

title
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	0.4%
Missing	64
Missing (%)	2.2%
Memory size	23.1 KiB

Debt consolidation	1699
Credit card refinancing	699
Home improvement	156
Other	141
Major purchase	55
Other values (7)	132

Length

Max length	23
Median length	18
Mean length	18.12144344
Min length	5

Characters and Unicode

Total characters	52226
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Debt consolidation
2nd row	Business
3rd row	Debt consolidation
4th row	Major purchase
5th row	Debt consolidation

Common Values

Value	Count	Frequency (%)
Debt consolidation	1699	57.7%
Credit card refinancing	699	23.7%
Home improvement	156	5.3%
Other	141	4.8%
Major purchase	55	1.9%
Business	33	1.1%
Car financing	30	1.0%
Medical expenses	21	0.7%
Vacation	17	0.6%
Home buying	17	0.6%
Other values (2)	14	0.5%
(Missing)	64	2.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
debt	1699	27.0%
consolidation	1699	27.0%
credit	699	11.1%
card	699	11.1%
refinancing	699	11.1%
home	173	2.8%
improvement	156	2.5%
other	141	2.2%
purchase	55	0.9%
major	55	0.9%
Other values (12)	210	3.3%

Most occurring characters

Value	Count	Frequency (%)
n	5870	11.2%
i	5825	11.2%
o	5538	10.6%
t	4424	8.5%
e	3910	7.5%
	3403	6.5%
a	3349	6.4%
c	3233	6.2%
d	3131	6.0%
r	2548	4.9%
Other values (21)	10995	21.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	45941	88.0%
Space Separator	3403	6.5%
Uppercase Letter	2882	5.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	5870	12.8%
i	5825	12.7%
o	5538	12.1%
t	4424	9.6%
e	3910	8.5%
a	3349	7.3%
c	3233	7.0%
d	3131	6.8%
r	2548	5.5%
s	1895	4.1%
Other values (12)	6218	13.5%

Uppercase Letter

Value	Count	Frequency (%)
D	1699	59.0%
C	729	25.3%
H	173	6.0%
O	141	4.9%
M	89	3.1%
B	33	1.1%
V	17	0.6%
G	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	3403	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	48823	93.5%
Common	3403	6.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	5870	12.0%
i	5825	11.9%
o	5538	11.3%
t	4424	9.1%
e	3910	8.0%
a	3349	6.9%
c	3233	6.6%
d	3131	6.4%
r	2548	5.2%
s	1895	3.9%
Other values (20)	9100	18.6%

Common

Value	Count	Frequency (%)
	3403	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	52226	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	5870	11.2%
i	5825	11.2%
o	5538	10.6%
t	4424	8.5%
e	3910	7.5%
	3403	6.5%
a	3349	6.4%
c	3233	6.2%
d	3131	6.0%
r	2548	4.9%
Other values (21)	10995	21.1%

zip_code
Categorical

HIGH CARDINALITY

Distinct	629
Distinct (%)	21.4%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

300xx	34
112xx	34
750xx	32
606xx	32
770xx	30
Other values (624)	2784

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	14730
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	160 ?
Unique (%)	5.4%

Sample

1st row	190xx
2nd row	577xx
3rd row	605xx
4th row	076xx
5th row	174xx

Common Values

Value	Count	Frequency (%)
300xx	34	1.2%
112xx	34	1.2%
750xx	32	1.1%
606xx	32	1.1%
770xx	30	1.0%
945xx	29	1.0%
117xx	25	0.8%
917xx	24	0.8%
104xx	24	0.8%
921xx	23	0.8%
Other values (619)	2659	90.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
300xx	34	1.2%
112xx	34	1.2%
750xx	32	1.1%
606xx	32	1.1%
770xx	30	1.0%
945xx	29	1.0%
117xx	25	0.8%
917xx	24	0.8%
104xx	24	0.8%
921xx	23	0.8%
Other values (619)	2659	90.3%

Most occurring characters

Value	Count	Frequency (%)
x	5892	40.0%
0	1335	9.1%
1	1091	7.4%
3	994	6.7%
2	972	6.6%
7	881	6.0%
9	786	5.3%
4	768	5.2%
5	675	4.6%
8	674	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8838	60.0%
Lowercase Letter	5892	40.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1335	15.1%
1	1091	12.3%
3	994	11.2%
2	972	11.0%
7	881	10.0%
9	786	8.9%
4	768	8.7%
5	675	7.6%
8	674	7.6%
6	662	7.5%

Lowercase Letter

Value	Count	Frequency (%)
x	5892	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8838	60.0%
Latin	5892	40.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1335	15.1%
1	1091	12.3%
3	994	11.2%
2	972	11.0%
7	881	10.0%
9	786	8.9%
4	768	8.7%
5	675	7.6%
8	674	7.6%
6	662	7.5%

Latin

Value	Count	Frequency (%)
x	5892	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
x	5892	40.0%
0	1335	9.1%
1	1091	7.4%
3	994	6.7%
2	972	6.6%
7	881	6.0%
9	786	5.3%
4	768	5.2%
5	675	4.6%
8	674	4.6%

addr_state
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	49
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

CA	357
TX	247
NY	238
FL	197
IL	106
Other values (44)	1801

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	5892
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PA
2nd row	SD
3rd row	IL
4th row	NJ
5th row	PA

Common Values

Value	Count	Frequency (%)
CA	357	12.1%
TX	247	8.4%
NY	238	8.1%
FL	197	6.7%
IL	106	3.6%
OH	106	3.6%
VA	103	3.5%
GA	100	3.4%
MD	99	3.4%
NJ	96	3.3%
Other values (39)	1297	44.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	357	12.1%
tx	247	8.4%
ny	238	8.1%
fl	197	6.7%
oh	106	3.6%
il	106	3.6%
va	103	3.5%
ga	100	3.4%
md	99	3.4%
nj	96	3.3%
Other values (39)	1297	44.0%

Most occurring characters

Value	Count	Frequency (%)
A	979	16.6%
N	648	11.0%
C	602	10.2%
M	434	7.4%
L	388	6.6%
T	370	6.3%
I	300	5.1%
O	288	4.9%
Y	269	4.6%
X	247	4.2%
Other values (14)	1367	23.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	5892	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	979	16.6%
N	648	11.0%
C	602	10.2%
M	434	7.4%
L	388	6.6%
T	370	6.3%
I	300	5.1%
O	288	4.9%
Y	269	4.6%
X	247	4.2%
Other values (14)	1367	23.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5892	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	979	16.6%
N	648	11.0%
C	602	10.2%
M	434	7.4%
L	388	6.6%
T	370	6.3%
I	300	5.1%
O	288	4.9%
Y	269	4.6%
X	247	4.2%
Other values (14)	1367	23.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5892	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	979	16.6%
N	648	11.0%
C	602	10.2%
M	434	7.4%
L	388	6.6%
T	370	6.3%
I	300	5.1%
O	288	4.9%
Y	269	4.6%
X	247	4.2%
Other values (14)	1367	23.2%

dti
Real number (ℝ_≥0)

Distinct	1898
Distinct (%)	64.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.44411745

Minimum	0
Maximum	51.2
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	0
5-th percentile	5.915
Q1	13.035
median	18.905
Q3	25.58
95-th percentile	34.395
Maximum	51.2
Range	51.2
Interquartile range (IQR)	12.545

Descriptive statistics

Standard deviation	8.628542991
Coefficient of variation (CV)	0.4437611023
Kurtosis	-0.562636739
Mean	19.44411745
Median Absolute Deviation (MAD)	6.24
Skewness	0.1958927958
Sum	57282.37
Variance	74.45175414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16.93	6	0.2%
25.43	6	0.2%
10.17	6	0.2%
23.26	6	0.2%
14.4	6	0.2%
20.54	6	0.2%
29.15	5	0.2%
21.6	5	0.2%
21.53	5	0.2%
8.51	5	0.2%
Other values (1888)	2890	98.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
0.25	1	< 0.1%
0.62	1	< 0.1%
0.63	1	< 0.1%
0.7	1	< 0.1%
0.76	1	< 0.1%
0.81	1	< 0.1%
0.94	1	< 0.1%
1.07	1	< 0.1%
1.14	1	< 0.1%

Value	Count	Frequency (%)
51.2	1	< 0.1%
46.71	1	< 0.1%
39.98	1	< 0.1%
39.87	1	< 0.1%
39.84	1	< 0.1%
39.83	1	< 0.1%
39.71	1	< 0.1%
39.69	1	< 0.1%
39.56	1	< 0.1%
39.37	2	0.1%

earliest_cr_line
Categorical

HIGH CARDINALITY

Distinct	426
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

3-Aug	29
4-Sep	27
3-Sep	27
2-Sep	27
Nov-99	27
Other values (421)	2809

Length

Max length	6
Median length	6
Mean length	5.567888663
Min length	5

Characters and Unicode

Total characters	16403
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	73 ?
Unique (%)	2.5%

Sample

1st row	3-Aug
2nd row	Dec-99
3rd row	Aug-00
4th row	8-Sep
5th row	Jun-98

Common Values

Value	Count	Frequency (%)
3-Aug	29	1.0%
4-Sep	27	0.9%
3-Sep	27	0.9%
2-Sep	27	0.9%
Nov-99	27	0.9%
3-Jul	25	0.8%
4-Oct	25	0.8%
4-Nov	23	0.8%
3-Mar	22	0.7%
Nov-00	22	0.7%
Other values (416)	2692	91.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3-aug	29	1.0%
2-sep	27	0.9%
4-sep	27	0.9%
3-sep	27	0.9%
nov-99	27	0.9%
3-jul	25	0.8%
4-oct	25	0.8%
4-nov	23	0.8%
nov-00	22	0.7%
3-mar	22	0.7%
Other values (416)	2692	91.4%

Most occurring characters

Value	Count	Frequency (%)
-	2946	18.0%
9	1280	7.8%
u	737	4.5%
e	726	4.4%
a	664	4.0%
J	657	4.0%
8	560	3.4%
p	525	3.2%
c	521	3.2%
A	513	3.1%
Other values (23)	7274	44.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5892	35.9%
Decimal Number	4619	28.2%
Dash Punctuation	2946	18.0%
Uppercase Letter	2946	18.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	737	12.5%
e	726	12.3%
a	664	11.3%
p	525	8.9%
c	521	8.8%
r	472	8.0%
n	424	7.2%
t	297	5.0%
o	287	4.9%
v	287	4.9%
Other values (4)	952	16.2%

Decimal Number

Value	Count	Frequency (%)
9	1280	27.7%
8	560	12.1%
0	466	10.1%
1	419	9.1%
4	360	7.8%
3	332	7.2%
2	322	7.0%
5	299	6.5%
7	291	6.3%
6	290	6.3%

Uppercase Letter

Value	Count	Frequency (%)
J	657	22.3%
A	513	17.4%
M	466	15.8%
O	297	10.1%
S	290	9.8%
N	287	9.7%
D	224	7.6%
F	212	7.2%

Dash Punctuation

Value	Count	Frequency (%)
-	2946	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8838	53.9%
Common	7565	46.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	737	8.3%
e	726	8.2%
a	664	7.5%
J	657	7.4%
p	525	5.9%
c	521	5.9%
A	513	5.8%
r	472	5.3%
M	466	5.3%
n	424	4.8%
Other values (12)	3133	35.4%

Common

Value	Count	Frequency (%)
-	2946	38.9%
9	1280	16.9%
8	560	7.4%
0	466	6.2%
1	419	5.5%
4	360	4.8%
3	332	4.4%
2	322	4.3%
5	299	4.0%
7	291	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16403	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	2946	18.0%
9	1280	7.8%
u	737	4.5%
e	726	4.4%
a	664	4.0%
J	657	4.0%
8	560	3.4%
p	525	3.2%
c	521	3.2%
A	513	3.1%
Other values (23)	7274	44.3%

last_pymnt_d
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	39
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

19-Jan	444
19-Feb	284
19-Mar	128
18-Dec	104
18-Mar	78
Other values (34)	1908

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	17676
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	19-Jan
2nd row	16-Jun
3rd row	17-Jun
4th row	19-Feb
5th row	16-Jul

Common Values

Value	Count	Frequency (%)
19-Jan	444	15.1%
19-Feb	284	9.6%
19-Mar	128	4.3%
18-Dec	104	3.5%
18-Mar	78	2.6%
17-Sep	73	2.5%
17-Jan	71	2.4%
17-Nov	69	2.3%
17-May	69	2.3%
17-Feb	68	2.3%
Other values (29)	1558	52.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
19-jan	444	15.1%
19-feb	284	9.6%
19-mar	128	4.3%
18-dec	104	3.5%
18-mar	78	2.6%
17-sep	73	2.5%
17-jan	71	2.4%
17-nov	69	2.3%
17-may	69	2.3%
17-feb	68	2.3%
Other values (29)	1558	52.9%

Most occurring characters

Value	Count	Frequency (%)
1	2946	16.7%
-	2946	16.7%
a	1073	6.1%
J	925	5.2%
e	860	4.9%
9	856	4.8%
7	785	4.4%
8	753	4.3%
n	751	4.2%
6	552	3.1%
Other values (18)	5229	29.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5892	33.3%
Lowercase Letter	5892	33.3%
Dash Punctuation	2946	16.7%
Uppercase Letter	2946	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1073	18.2%
e	860	14.6%
n	751	12.7%
u	510	8.7%
r	477	8.1%
b	436	7.4%
c	400	6.8%
p	357	6.1%
g	176	3.0%
l	174	3.0%
Other values (4)	678	11.5%

Uppercase Letter

Value	Count	Frequency (%)
J	925	31.4%
M	482	16.4%
F	436	14.8%
A	341	11.6%
D	232	7.9%
S	192	6.5%
N	170	5.8%
O	168	5.7%

Decimal Number

Value	Count	Frequency (%)
1	2946	50.0%
9	856	14.5%
7	785	13.3%
8	753	12.8%
6	552	9.4%

Dash Punctuation

Value	Count	Frequency (%)
-	2946	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8838	50.0%
Latin	8838	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1073	12.1%
J	925	10.5%
e	860	9.7%
n	751	8.5%
u	510	5.8%
M	482	5.5%
r	477	5.4%
F	436	4.9%
b	436	4.9%
c	400	4.5%
Other values (12)	2488	28.2%

Common

Value	Count	Frequency (%)
1	2946	33.3%
-	2946	33.3%
9	856	9.7%
7	785	8.9%
8	753	8.5%
6	552	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17676	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2946	16.7%
-	2946	16.7%
a	1073	6.1%
J	925	5.2%
e	860	4.9%
9	856	4.8%
7	785	4.4%
8	753	4.3%
n	751	4.2%
6	552	3.1%
Other values (18)	5229	29.6%

last_pymnt_amnt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2678
Distinct (%)	90.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4663.227026

Minimum	0.03
Maximum	35467.75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	0.03
5-th percentile	66.7125
Q1	362.98
median	842.235
Q3	6832.185
95-th percentile	20262.56
Maximum	35467.75
Range	35467.72
Interquartile range (IQR)	6469.205

Descriptive statistics

Standard deviation	6855.29761
Coefficient of variation (CV)	1.470075888
Kurtosis	3.450675577
Mean	4663.227026
Median Absolute Deviation (MAD)	735.32
Skewness	1.936828897
Sum	13737866.82
Variance	46995105.33
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
465.27	11	0.4%
50	7	0.2%
778.38	6	0.2%
459.58	5	0.2%
569.08	5	0.2%
482.22	5	0.2%
621.74	5	0.2%
275.75	5	0.2%
315.59	4	0.1%
544.61	4	0.1%
Other values (2668)	2889	98.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.03	1	< 0.1%
0.14	1	< 0.1%
0.19	1	< 0.1%
0.26	1	< 0.1%
0.29	1	< 0.1%
0.34	1	< 0.1%
0.39	2	0.1%
0.4	1	< 0.1%
0.43	1	< 0.1%
0.56	1	< 0.1%

Value	Count	Frequency (%)
35467.75	1	< 0.1%
35456.98	1	< 0.1%
35307.69	1	< 0.1%
35187.84	1	< 0.1%
34945.43	1	< 0.1%
34908.95	1	< 0.1%
34484.92	1	< 0.1%
34140.55	1	< 0.1%
33863.54	1	< 0.1%
33804.36	1	< 0.1%

next_pymnt_d
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.6%
Missing	2610
Missing (%)	88.6%
Memory size	23.1 KiB

19-Apr	335
19-Mar	1

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	2016
Distinct characters	8
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	19-Apr
2nd row	19-Apr
3rd row	19-Apr
4th row	19-Apr
5th row	19-Apr

Common Values

Value	Count	Frequency (%)
19-Apr	335	11.4%
19-Mar	1	< 0.1%
(Missing)	2610	88.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
19-apr	335	99.7%
19-mar	1	0.3%

Most occurring characters

Value	Count	Frequency (%)
1	336	16.7%
9	336	16.7%
-	336	16.7%
r	336	16.7%
A	335	16.6%
p	335	16.6%
M	1	< 0.1%
a	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	672	33.3%
Lowercase Letter	672	33.3%
Dash Punctuation	336	16.7%
Uppercase Letter	336	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	336	50.0%
p	335	49.9%
a	1	0.1%

Decimal Number

Value	Count	Frequency (%)
1	336	50.0%
9	336	50.0%

Uppercase Letter

Value	Count	Frequency (%)
A	335	99.7%
M	1	0.3%

Dash Punctuation

Value	Count	Frequency (%)
-	336	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1008	50.0%
Latin	1008	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	336	33.3%
A	335	33.2%
p	335	33.2%
M	1	0.1%
a	1	0.1%

Common

Value	Count	Frequency (%)
1	336	33.3%
9	336	33.3%
-	336	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2016	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	336	16.7%
9	336	16.7%
-	336	16.7%
r	336	16.7%
A	335	16.6%
p	335	16.6%
M	1	< 0.1%
a	1	< 0.1%

last_credit_pull_d
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

19-Mar	1287
18-Dec	237
19-Jan	166
19-Feb	155
18-Jul	95
Other values (35)	1006

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	17676
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	19-Mar
2nd row	19-Mar
3rd row	19-Mar
4th row	19-Mar
5th row	18-Mar

Common Values

Value	Count	Frequency (%)
19-Mar	1287	43.7%
18-Dec	237	8.0%
19-Jan	166	5.6%
19-Feb	155	5.3%
18-Jul	95	3.2%
18-Nov	73	2.5%
18-Oct	69	2.3%
18-Sep	58	2.0%
18-Aug	56	1.9%
18-Mar	53	1.8%
Other values (30)	697	23.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
19-mar	1287	43.7%
18-dec	237	8.0%
19-jan	166	5.6%
19-feb	155	5.3%
18-jul	95	3.2%
18-nov	73	2.5%
18-oct	69	2.3%
18-sep	58	2.0%
18-aug	56	1.9%
18-mar	53	1.8%
Other values (30)	697	23.7%

Most occurring characters

Value	Count	Frequency (%)
1	2946	16.7%
-	2946	16.7%
a	1675	9.5%
9	1608	9.1%
r	1437	8.1%
M	1429	8.1%
8	812	4.6%
e	640	3.6%
J	443	2.5%
c	436	2.5%
Other values (19)	3304	18.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5892	33.3%
Lowercase Letter	5892	33.3%
Dash Punctuation	2946	16.7%
Uppercase Letter	2946	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1675	28.4%
r	1437	24.4%
e	640	10.9%
c	436	7.4%
n	302	5.1%
u	298	5.1%
b	238	4.0%
p	184	3.1%
t	142	2.4%
l	141	2.4%
Other values (4)	399	6.8%

Uppercase Letter

Value	Count	Frequency (%)
M	1429	48.5%
J	443	15.0%
D	294	10.0%
F	238	8.1%
A	177	6.0%
O	142	4.8%
N	115	3.9%
S	108	3.7%

Decimal Number

Value	Count	Frequency (%)
1	2946	50.0%
9	1608	27.3%
8	812	13.8%
7	413	7.0%
6	111	1.9%
5	2	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	2946	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8838	50.0%
Latin	8838	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1675	19.0%
r	1437	16.3%
M	1429	16.2%
e	640	7.2%
J	443	5.0%
c	436	4.9%
n	302	3.4%
u	298	3.4%
D	294	3.3%
F	238	2.7%
Other values (12)	1646	18.6%

Common

Value	Count	Frequency (%)
1	2946	33.3%
-	2946	33.3%
9	1608	18.2%
8	812	9.2%
7	413	4.7%
6	111	1.3%
5	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17676	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2946	16.7%
-	2946	16.7%
a	1675	9.5%
9	1608	9.1%
r	1437	8.1%
M	1429	8.1%
8	812	4.6%
e	640	3.6%
J	443	2.5%
c	436	2.5%
Other values (19)	3304	18.7%

Time
Categorical

HIGH CARDINALITY

Distinct	698
Distinct (%)	23.7%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

3/23/2016 11:03	47
3/23/2016 8:47	44
3/23/2016 9:18	40
3/23/2016 9:53	40
3/23/2016 11:37	37
Other values (693)	2738

Length

Max length	15
Median length	15
Mean length	14.80040733
Min length	14

Characters and Unicode

Total characters	43602
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	181 ?
Unique (%)	6.1%

Sample

1st row	3/22/2016 9:51
2nd row	3/22/2016 10:08
3rd row	3/22/2016 10:08
4th row	3/22/2016 10:08
5th row	3/22/2016 10:08

Common Values

Value	Count	Frequency (%)
3/23/2016 11:03	47	1.6%
3/23/2016 8:47	44	1.5%
3/23/2016 9:18	40	1.4%
3/23/2016 9:53	40	1.4%
3/23/2016 11:37	37	1.3%
3/21/2016 14:12	35	1.2%
3/23/2016 11:14	34	1.2%
3/23/2016 10:11	34	1.2%
3/21/2016 12:35	32	1.1%
3/23/2016 8:57	31	1.1%
Other values (688)	2572	87.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3/21/2016	986	16.7%
3/22/2016	882	15.0%
3/23/2016	620	10.5%
3/18/2016	458	7.8%
11:03	52	0.9%
9:53	47	0.8%
11:37	46	0.8%
8:47	46	0.8%
9:18	44	0.7%
10:11	41	0.7%
Other values (489)	2670	45.3%

Most occurring characters

Value	Count	Frequency (%)
1	8119	18.6%
2	7395	17.0%
/	5892	13.5%
3	4557	10.5%
0	4071	9.3%
6	3505	8.0%
	2946	6.8%
:	2946	6.8%
4	1168	2.7%
5	983	2.3%
Other values (3)	2020	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	31818	73.0%
Other Punctuation	8838	20.3%
Space Separator	2946	6.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	8119	25.5%
2	7395	23.2%
3	4557	14.3%
0	4071	12.8%
6	3505	11.0%
4	1168	3.7%
5	983	3.1%
8	964	3.0%
9	639	2.0%
7	417	1.3%

Other Punctuation

Value	Count	Frequency (%)
/	5892	66.7%
:	2946	33.3%

Space Separator

Value	Count	Frequency (%)
	2946	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43602	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	8119	18.6%
2	7395	17.0%
/	5892	13.5%
3	4557	10.5%
0	4071	9.3%
6	3505	8.0%
	2946	6.8%
:	2946	6.8%
4	1168	2.7%
5	983	2.3%
Other values (3)	2020	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43602	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	8119	18.6%
2	7395	17.0%
/	5892	13.5%
3	4557	10.5%
0	4071	9.3%
6	3505	8.0%
	2946	6.8%
:	2946	6.8%
4	1168	2.7%
5	983	2.3%
Other values (3)	2020	4.6%

emp_length
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	1.5%
Missing	2231
Missing (%)	75.7%
Memory size	23.1 KiB

10+ years	322
3 years	50
6 years	50
< 1 year	49
8 years	49
Other values (6)	195

Length

Max length	9
Median length	8
Mean length	7.934265734
Min length	6

Characters and Unicode

Total characters	5673
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	< 1 year
2nd row	10+ years
3rd row	10+ years
4th row	10+ years
5th row	10+ years

Common Values

Value	Count	Frequency (%)
10+ years	322	10.9%
3 years	50	1.7%
6 years	50	1.7%
< 1 year	49	1.7%
8 years	49	1.7%
2 years	48	1.6%
5 years	48	1.6%
1 year	25	0.8%
7 years	25	0.8%
4 years	25	0.8%
(Missing)	2231	75.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
years	641	43.3%
10	322	21.8%
1	74	5.0%
year	74	5.0%
3	50	3.4%
6	50	3.4%
	49	3.3%
8	49	3.3%
5	48	3.2%
2	48	3.2%
Other values (3)	74	5.0%

Most occurring characters

Value	Count	Frequency (%)
	764	13.5%
y	715	12.6%
e	715	12.6%
a	715	12.6%
r	715	12.6%
s	641	11.3%
1	396	7.0%
0	322	5.7%
+	322	5.7%
3	50	0.9%
Other values (8)	318	5.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3501	61.7%
Decimal Number	1037	18.3%
Space Separator	764	13.5%
Math Symbol	371	6.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	396	38.2%
0	322	31.1%
3	50	4.8%
6	50	4.8%
8	49	4.7%
5	48	4.6%
2	48	4.6%
4	25	2.4%
7	25	2.4%
9	24	2.3%

Lowercase Letter

Value	Count	Frequency (%)
y	715	20.4%
e	715	20.4%
a	715	20.4%
r	715	20.4%
s	641	18.3%

Math Symbol

Value	Count	Frequency (%)
+	322	86.8%
<	49	13.2%

Space Separator

Value	Count	Frequency (%)
	764	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3501	61.7%
Common	2172	38.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	764	35.2%
1	396	18.2%
0	322	14.8%
+	322	14.8%
3	50	2.3%
6	50	2.3%
<	49	2.3%
8	49	2.3%
5	48	2.2%
2	48	2.2%
Other values (3)	74	3.4%

Latin

Value	Count	Frequency (%)
y	715	20.4%
e	715	20.4%
a	715	20.4%
r	715	20.4%
s	641	18.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5673	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	764	13.5%
y	715	12.6%
e	715	12.6%
a	715	12.6%
r	715	12.6%
s	641	11.3%
1	396	7.0%
0	322	5.7%
+	322	5.7%
3	50	0.9%
Other values (8)	318	5.6%

your_favoritearticle_today
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	2945
Distinct (%)	100.0%
Missing	1
Missing (%)	< 0.1%
Memory size	23.1 KiB

https://www.nytimes.com/2019/09/03/travel/prince-harry-travel-travalyst.html	1
https://abcnews.go.com/Politics/mike-pences-stay-trump-property-ireland-focus-senate/story?id=65407311	1
https://www.nytimes.com/2019/09/03/arts/music/justin-bieber-drug-use-instagram.html	1
https://www.cbsnews.com/news/roger-federer-us-open-meet-the-man-who-strings-roger-federers-tennis-rackets-ron-yu-2019-09-07/	1
https://www.cbsnews.com/video/mike-pence-defends-staying-at-trump-property-in-doonbeg-ireland/	1
Other values (2940)	2940

Length

Max length	325
Median length	89
Mean length	88.80848896
Min length	35

Characters and Unicode

Total characters	261541
Distinct characters	76
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2945 ?
Unique (%)	100.0%

Sample

1st row	https://www.reuters.com/article/us-tesla-crash-idUSKCN1VO22E
2nd row	https://www.irishtimes.com/business/economy/unemployment-falls-to-post-crash-low-of-5-2-1.4006266
3rd row	https://www.irishtimes.com/ /life-and-style/fashion/louise-kennedy-aw2019-long-coats-sparkling-tweed-dresses-and-emerald-knits-1.4006504
4th row	https://www.aljazeera.com/news/2019/09/north-korean-footballer-han-joins-italian-giants-juventus-190903164640390.html
5th row	https://www.bbc.co.uk/news/av/uk-scotland-49564244/uk-government-lawyer-says-proroguing-parliament-political-not-legal

Common Values

Value	Count	Frequency (%)
https://www.nytimes.com/2019/09/03/travel/prince-harry-travel-travalyst.html	1	< 0.1%
https://abcnews.go.com/Politics/mike-pences-stay-trump-property-ireland-focus-senate/story?id=65407311	1	< 0.1%
https://www.nytimes.com/2019/09/03/arts/music/justin-bieber-drug-use-instagram.html	1	< 0.1%
https://www.cbsnews.com/news/roger-federer-us-open-meet-the-man-who-strings-roger-federers-tennis-rackets-ron-yu-2019-09-07/	1	< 0.1%
https://www.cbsnews.com/video/mike-pence-defends-staying-at-trump-property-in-doonbeg-ireland/	1	< 0.1%
https://www.bbc.co.uk/sport/football/49564550	1	< 0.1%
https://abcnews.go.com/International/wireStory/italy-police-detains-10-alleged-terrorism-financing-65449978	1	< 0.1%
https://www.cnn.com/2019/09/06/success/ceo-succession/index.html	1	< 0.1%
https://www.aljazeera.com/news/2019/09/death-destruction-stalks-bahamas-wake-hurricane-dorian-190906022923964.html	1	< 0.1%
http://www.bbc.co.uk/news/world-us-canada-49607684	1	< 0.1%
Other values (2935)	2935	99.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.irishtimes.com	31	1.0%
https://www.irishtimes.com/life-and-style/fashion/thanks-penneys-behind-the-scenes-as-the-fashion-empire-turns-50-1.3997868	1	< 0.1%
https://www.cnn.com/2019/09/05/us/taco-names-new-mexico-restaurant-trnd/index.html	1	< 0.1%
https://www.nytimes.com/2019/09/06/realestate/so-your-house-wants-to-be-a-star.html	1	< 0.1%
https://abcnews.go.com/us/wirestory/pain-scuba-diving-deaths-off-california-felt-globe-65452588	1	< 0.1%
https://www.bbc.co.uk/sport/football/49564550	1	< 0.1%
https://www.cnn.com/2019/09/06/success/ceo-succession/index.html	1	< 0.1%
https://www.aljazeera.com/news/2019/09/death-destruction-stalks-bahamas-wake-hurricane-dorian-190906022923964.html	1	< 0.1%
http://www.bbc.co.uk/news/world-us-canada-49607684	1	< 0.1%
https://www.nytimes.com/2019/09/03/travel/prince-harry-travel-travalyst.html	1	< 0.1%
Other values (2936)	2936	98.7%

Most occurring characters

Value	Count	Frequency (%)
-	19474	7.4%
e	18119	6.9%
t	17407	6.7%
s	16793	6.4%
/	15284	5.8%
i	12917	4.9%
o	12848	4.9%
n	12353	4.7%
a	11951	4.6%
r	11819	4.5%
Other values (66)	112576	43.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	190011	72.7%
Other Punctuation	25673	9.8%
Decimal Number	21795	8.3%
Dash Punctuation	19474	7.4%
Uppercase Letter	4060	1.6%
Control	248	0.1%
Math Symbol	171	0.1%
Connector Punctuation	109	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	18119	9.5%
t	17407	9.2%
s	16793	8.8%
i	12917	6.8%
o	12848	6.8%
n	12353	6.5%
a	11951	6.3%
r	11819	6.2%
w	11023	5.8%
c	9185	4.8%
Other values (16)	55596	29.3%

Uppercase Letter

Value	Count	Frequency (%)
S	687	16.9%
N	501	12.3%
C	421	10.4%
U	367	9.0%
K	367	9.0%
V	328	8.1%
A	156	3.8%
I	155	3.8%
O	140	3.4%
Q	102	2.5%
Other values (16)	836	20.6%

Decimal Number

Value	Count	Frequency (%)
0	4591	21.1%
1	3389	15.5%
9	3389	15.5%
2	2201	10.1%
4	1837	8.4%
5	1736	8.0%
6	1546	7.1%
3	1127	5.2%
7	1089	5.0%
8	890	4.1%

Other Punctuation

Value	Count	Frequency (%)
/	15284	59.5%
.	7319	28.5%
:	2945	11.5%
?	76	0.3%
%	32	0.1%
&	7	< 0.1%
;	6	< 0.1%
#	4	< 0.1%

Math Symbol

Value	Count	Frequency (%)
=	83	48.5%
~	82	48.0%
+	6	3.5%

Dash Punctuation

Value	Count	Frequency (%)
-	19474	100.0%

Control

Value	Count	Frequency (%)
	248	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	109	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	194071	74.2%
Common	67470	25.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	18119	9.3%
t	17407	9.0%
s	16793	8.7%
i	12917	6.7%
o	12848	6.6%
n	12353	6.4%
a	11951	6.2%
r	11819	6.1%
w	11023	5.7%
c	9185	4.7%
Other values (42)	59656	30.7%

Common

Value	Count	Frequency (%)
-	19474	28.9%
/	15284	22.7%
.	7319	10.8%
0	4591	6.8%
1	3389	5.0%
9	3389	5.0%
:	2945	4.4%
2	2201	3.3%
4	1837	2.7%
5	1736	2.6%
Other values (14)	5305	7.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	261541	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	19474	7.4%
e	18119	6.9%
t	17407	6.7%
s	16793	6.4%
/	15284	5.8%
i	12917	4.9%
o	12848	4.9%
n	12353	4.7%
a	11951	4.6%
r	11819	4.5%
Other values (66)	112576	43.0%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	2946
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

wlservices.fr/css/webscr.php?cmd=_login-run&dispatch=5885d80a13c0db1f1ff80d546411d7f84f1036d8f209d3d19ebb6f4eeec8bd0e58f68c371b0c6dfb0c971e2b6492d5d658f68c371b0c6dfb0c971e2b6492d5d6	1
hagabloggen.nu/char/www.paypal.com/fr/	1
jennys.com.bd/Information/login.php	1
www.egitimogretimci.com/wp-admin/images/screenshots/index.htm	1
www.sanelyurdu.com/language/homebank.tsbbank.co.nz/SignOn.htm	1
Other values (2941)	2941

Length

Max length	683
Median length	54
Mean length	74.55838425
Min length	10

Characters and Unicode

Total characters	219649
Distinct characters	85
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2946 ?
Unique (%)	100.0%

Sample

1st row	nobell.it/70ffb52d079109dca5664cce6f317373782/login.SkyPe.com/en/cgi-bin/verification/login/70ffb52d079109dca5664cce6f317373/index.php?cmd=_profile-ach&outdated_page_tmpl=p/gen/failed-to-load&nav=0.5.1&login_access=1322408526
2nd row	www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrcmd=_home-customer&nav=1/loading.php
3rd row	serviciosbys.com/paypal.cgi.bin.get-into.herf.secure.dispatch35463256rzr321654641dsf654321874/href/href/href/secure/center/update/limit/seccure/4d7a1ff5c55825a2e632a679c2fd5353/
4th row	mail.printakid.com/www.online.americanexpress.com/index.html
5th row	thewhiskeydregs.com/wp-content/themes/widescreen/includes/temp/promocoessmiles/?84784787824HDJNDJDSJSHD//2724782784/

Common Values

Value	Count	Frequency (%)
wlservices.fr/css/webscr.php?cmd=_login-run&dispatch=5885d80a13c0db1f1ff80d546411d7f84f1036d8f209d3d19ebb6f4eeec8bd0e58f68c371b0c6dfb0c971e2b6492d5d658f68c371b0c6dfb0c971e2b6492d5d6	1	< 0.1%
hagabloggen.nu/char/www.paypal.com/fr/	1	< 0.1%
jennys.com.bd/Information/login.php	1	< 0.1%
www.egitimogretimci.com/wp-admin/images/screenshots/index.htm	1	< 0.1%
www.sanelyurdu.com/language/homebank.tsbbank.co.nz/SignOn.htm	1	< 0.1%
service-giveaway-forum-kingyoza.tk/	1	< 0.1%
www.ihr-einkauf.com/ie_bilder/Files/files/customer/login/logout/	1	< 0.1%
bradtsics.com/zDcntrlde/webscr.php?cmd_=session.start&sdr01=bWVAMjBkYXlzZHVsbC5kZQ==	1	< 0.1%
promocaomembertamfidelidade.tk/	1	< 0.1%
kk-samara.ru/fidelidade/-/tam.com.br/java/	1	< 0.1%
Other values (2936)	2936	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
login.html	7	0.2%
b2b/new	4	0.1%
b2b/index.htm	4	0.1%
krotzon.biz/pcntrlde/webscr_prim.php?sdr01=a2fyaw4uagvlceb0lw9ubgluzs5kzq	3	0.1%
krotzon.biz/pcntrlde/webscr_prim.php?sdr01=agvsz2eucg9ldhnjaeb0lw9ubgluzs5kzq	3	0.1%
sepakbolaonline.com/wp-content/themes/redcarpet-3.0.6/safe/ib.nab.com.au	2	0.1%
playnauth.com/img/apps/online	2	0.1%
dazzletechnologies.com/images/worldwide/paypalworldwide.inc/cgi-bin/webscrcmd=_login-run/webscrcmd=_account-run/updates-paypal/confirm-paypal	2	0.1%
krotzon.biz/pcntrlde/webscr_prim.php?sdr01=anvuz2jydw5uzw5adc1vbmxpbmuuzgu	2	0.1%
krotzon.biz/pcntrlde/webscr_prim.php?sdr01=agvyymvydgtyyxrzy2htyxjadc1vbmxpbmuuzgu	2	0.1%
Other values (2893)	2942	99.0%

Most occurring characters

Value	Count	Frequency (%)
e	13387	6.1%
a	11919	5.4%
.	10223	4.7%
c	10195	4.6%
o	9865	4.5%
/	9512	4.3%
i	9148	4.2%
s	8460	3.9%
n	8042	3.7%
m	7986	3.6%
Other values (75)	120912	55.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	151139	68.8%
Decimal Number	31168	14.2%
Other Punctuation	22838	10.4%
Uppercase Letter	9403	4.3%
Dash Punctuation	2313	1.1%
Math Symbol	1825	0.8%
Connector Punctuation	930	0.4%
Space Separator	27	< 0.1%
Open Punctuation	3	< 0.1%
Close Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	13387	8.9%
a	11919	7.9%
c	10195	6.7%
o	9865	6.5%
i	9148	6.1%
s	8460	5.6%
n	8042	5.3%
m	7986	5.3%
t	7814	5.2%
r	7736	5.1%
Other values (16)	56587	37.4%

Uppercase Letter

Value	Count	Frequency (%)
S	527	5.6%
F	487	5.2%
Z	460	4.9%
I	457	4.9%
A	450	4.8%
B	446	4.7%
C	425	4.5%
E	422	4.5%
V	409	4.3%
L	403	4.3%
Other values (16)	4917	52.3%

Other Punctuation

Value	Count	Frequency (%)
.	10223	44.8%
/	9512	41.6%
&	1086	4.8%
?	654	2.9%
;	493	2.2%
\	281	1.2%
%	281	1.2%
'	216	0.9%
:	45	0.2%
,	21	0.1%
Other values (3)	26	0.1%

Decimal Number

Value	Count	Frequency (%)
1	4008	12.9%
5	3554	11.4%
3	3519	11.3%
2	3430	11.0%
8	3393	10.9%
0	3288	10.5%
4	3045	9.8%
6	2593	8.3%
9	2376	7.6%
7	1962	6.3%

Math Symbol

Value	Count	Frequency (%)
=	1716	94.0%
~	107	5.9%
+	2	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	2	66.7%
[	1	33.3%

Close Punctuation

Value	Count	Frequency (%)
)	2	66.7%
]	1	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	2313	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	930	100.0%

Space Separator

Value	Count	Frequency (%)
	27	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	160542	73.1%
Common	59107	26.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	13387	8.3%
a	11919	7.4%
c	10195	6.4%
o	9865	6.1%
i	9148	5.7%
s	8460	5.3%
n	8042	5.0%
m	7986	5.0%
t	7814	4.9%
r	7736	4.8%
Other values (42)	65990	41.1%

Common

Value	Count	Frequency (%)
.	10223	17.3%
/	9512	16.1%
1	4008	6.8%
5	3554	6.0%
3	3519	6.0%
2	3430	5.8%
8	3393	5.7%
0	3288	5.6%
4	3045	5.2%
6	2593	4.4%
Other values (23)	12542	21.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	219649	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	13387	6.1%
a	11919	5.4%
.	10223	4.7%
c	10195	4.6%
o	9865	4.5%
/	9512	4.3%
i	9148	4.2%
s	8460	3.9%
n	8042	3.7%
m	7986	3.6%
Other values (75)	120912	55.0%

Email
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	1921
Distinct (%)	99.0%
Missing	1005
Missing (%)	34.1%
Memory size	23.1 KiB

na	4
dapcukhammam@gmail.com	3
nandkishor@arpanbloodbank.org	3
bloodbank.ahakp@gmail.com	2
bloodbankkanchipuram@gmail.com	2
Other values (1916)	1927

Length

Max length	76
Median length	23
Mean length	25.05203503
Min length	2

Characters and Unicode

Total characters	48626
Distinct characters	68
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1905 ?
Unique (%)	98.1%

Sample

1st row	mstephenson@fernandez.com
2nd row	hduke@hotmail.com
3rd row	pallen@yahoo.com
4th row	riverarebecca@gmail.com
5th row	mstephens@davidson-herman.com

Common Values

Value	Count	Frequency (%)
na	4	0.1%
dapcukhammam@gmail.com	3	0.1%
nandkishor@arpanbloodbank.org	3	0.1%
bloodbank.ahakp@gmail.com	2	0.1%
bloodbankkanchipuram@gmail.com	2	0.1%
vivekanandabloodbank@gmail.com	2	0.1%
drnkbhatia@yahoo.com	2	0.1%
msibloodbank@gmail.com	2	0.1%
bloodbank.rtgh@gmail.com	2	0.1%
bloodbank@parashospitals.com	2	0.1%
Other values (1911)	1917	65.1%
(Missing)	1005	34.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nandkishor@arpanbloodbank.org	4	0.2%
na	4	0.2%
dapcukhammam@gmail.com	3	0.1%
	2	0.1%
mgmhbloodbank@gmail.com	2	0.1%
drrema_m@apollohospital.co	2	0.1%
indian	2	0.1%
msibloodbank@gmail.com	2	0.1%
wgbloodbank@gmail.com	2	0.1%
kalibloodbank@gmail.com	2	0.1%
Other values (2028)	2045	98.8%

Most occurring characters

Value	Count	Frequency (%)
a	5178	10.6%
o	4882	10.0%
m	3988	8.2%
i	3113	6.4%
l	3049	6.3%
c	2663	5.5%
.	2393	4.9%
n	2263	4.7%
@	2052	4.2%
b	2042	4.2%
Other values (58)	17003	35.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42685	87.8%
Other Punctuation	4574	9.4%
Decimal Number	969	2.0%
Space Separator	162	0.3%
Connector Punctuation	95	0.2%
Dash Punctuation	89	0.2%
Uppercase Letter	46	0.1%
Control	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	5178	12.1%
o	4882	11.4%
m	3988	9.3%
i	3113	7.3%
l	3049	7.1%
c	2663	6.2%
n	2263	5.3%
b	2042	4.8%
r	2030	4.8%
g	1774	4.2%
Other values (16)	11703	27.4%

Uppercase Letter

Value	Count	Frequency (%)
B	6	13.0%
A	4	8.7%
O	3	6.5%
N	3	6.5%
M	3	6.5%
V	2	4.3%
G	2	4.3%
H	2	4.3%
L	2	4.3%
D	2	4.3%
Other values (11)	17	37.0%

Decimal Number

Value	Count	Frequency (%)
1	151	15.6%
0	148	15.3%
2	137	14.1%
9	124	12.8%
8	76	7.8%
5	73	7.5%
3	70	7.2%
6	68	7.0%
4	63	6.5%
7	59	6.1%

Other Punctuation

Value	Count	Frequency (%)
.	2393	52.3%
@	2052	44.9%
,	124	2.7%
/	2	< 0.1%
&	1	< 0.1%
#	1	< 0.1%
;	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	89	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	95	100.0%

Space Separator

Value	Count	Frequency (%)
	162	100.0%

Control

Value	Count	Frequency (%)
	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42731	87.9%
Common	5895	12.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	5178	12.1%
o	4882	11.4%
m	3988	9.3%
i	3113	7.3%
l	3049	7.1%
c	2663	6.2%
n	2263	5.3%
b	2042	4.8%
r	2030	4.8%
g	1774	4.2%
Other values (37)	11749	27.5%

Common

Value	Count	Frequency (%)
.	2393	40.6%
@	2052	34.8%
	162	2.7%
1	151	2.6%
0	148	2.5%
2	137	2.3%
9	124	2.1%
,	124	2.1%
_	95	1.6%
-	89	1.5%
Other values (11)	420	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48626	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	5178	10.6%
o	4882	10.0%
m	3988	8.2%
i	3113	6.4%
l	3049	6.3%
c	2663	5.5%
.	2393	4.9%
n	2263	4.7%
@	2052	4.2%
b	2042	4.2%
Other values (58)	17003	35.0%

homeaddress
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	2629
Distinct (%)	100.0%
Missing	317
Missing (%)	10.8%
Memory size	23.1 KiB

13590 Northdale Blvd Ste 300 Rogers, MN 55374 US	1
13042 Fair Lakes Shopping Ctr Fairfax, VA 22033 US	1
7600 Cypress Creek Pkwy Houston, TX 77070 US	1
4130 Tuscarawas St W Canton, OH 44708 US	1
5550 Wilshire Blvd Ste 101B Los Angeles, CA 90036 US	1
Other values (2624)	2624

Length

Max length	75
Median length	43
Mean length	43.7360213
Min length	30

Characters and Unicode

Total characters	114982
Distinct characters	69
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2629 ?
Unique (%)	100.0%

Sample

1st row	346 W Magnolia Ave Auburn, AL 36832 US
2nd row	300 20th St S Birmingham, AL 35233 US
3rd row	3220 Morrow Rd Birmingham, AL 35235 US
4th row	4719 Highway 280 Birmingham, AL 35242 US
5th row	1821 Cherokee Ave SW Cullman, AL 35055 US

Common Values

Value	Count	Frequency (%)
13590 Northdale Blvd Ste 300 Rogers, MN 55374 US	1	< 0.1%
13042 Fair Lakes Shopping Ctr Fairfax, VA 22033 US	1	< 0.1%
7600 Cypress Creek Pkwy Houston, TX 77070 US	1	< 0.1%
4130 Tuscarawas St W Canton, OH 44708 US	1	< 0.1%
5550 Wilshire Blvd Ste 101B Los Angeles, CA 90036 US	1	< 0.1%
4774 E Grant Rd Tucson, AZ 85712 US	1	< 0.1%
14383 Newbrook Dr Suite 100 Chantilly, VA 20151 US	1	< 0.1%
5107 N Belt Hwy Ste 101 Saint Joseph, MO 64506 US	1	< 0.1%
1787 Blowing Rock Rd Ste A Boone, NC 28607 US	1	< 0.1%
6415 N Illinois St Fairview Heights, IL 62208 US	1	< 0.1%
Other values (2619)	2619	88.9%
(Missing)	317	10.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
us	2652	11.4%
ste	871	3.7%
rd	565	2.4%
st	445	1.9%
ca	421	1.8%
ave	416	1.8%
blvd	332	1.4%
n	257	1.1%
w	252	1.1%
s	240	1.0%
Other values (7234)	16791	72.2%

Most occurring characters

Value	Count	Frequency (%)
	20613	17.9%
e	5726	5.0%
S	5014	4.4%
0	4644	4.0%
1	4392	3.8%
t	4041	3.5%
a	4026	3.5%
n	3346	2.9%
o	3228	2.8%
r	3218	2.8%
Other values (59)	56734	49.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	43155	37.5%
Decimal Number	26024	22.6%
Uppercase Letter	22427	19.5%
Space Separator	20613	17.9%
Other Punctuation	2721	2.4%
Dash Punctuation	42	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	5014	22.4%
U	2794	12.5%
A	1853	8.3%
C	1505	6.7%
N	1089	4.9%
R	971	4.3%
B	901	4.0%
M	870	3.9%
L	775	3.5%
W	763	3.4%
Other values (16)	5892	26.3%

Lowercase Letter

Value	Count	Frequency (%)
e	5726	13.3%
t	4041	9.4%
a	4026	9.3%
n	3346	7.8%
o	3228	7.5%
r	3218	7.5%
l	3117	7.2%
i	2935	6.8%
d	2088	4.8%
s	1908	4.4%
Other values (16)	9522	22.1%

Decimal Number

Value	Count	Frequency (%)
0	4644	17.8%
1	4392	16.9%
2	3030	11.6%
3	2428	9.3%
5	2338	9.0%
4	2277	8.7%
7	1823	7.0%
6	1806	6.9%
9	1679	6.5%
8	1607	6.2%

Other Punctuation

Value	Count	Frequency (%)
,	2633	96.8%
.	43	1.6%
#	34	1.2%
&	9	0.3%
/	2	0.1%

Space Separator

Value	Count	Frequency (%)
	20613	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	42	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	65582	57.0%
Common	49400	43.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5726	8.7%
S	5014	7.6%
t	4041	6.2%
a	4026	6.1%
n	3346	5.1%
o	3228	4.9%
r	3218	4.9%
l	3117	4.8%
i	2935	4.5%
U	2794	4.3%
Other values (42)	28137	42.9%

Common

Value	Count	Frequency (%)
	20613	41.7%
0	4644	9.4%
1	4392	8.9%
2	3030	6.1%
,	2633	5.3%
3	2428	4.9%
5	2338	4.7%
4	2277	4.6%
7	1823	3.7%
6	1806	3.7%
Other values (7)	3416	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	114982	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	20613	17.9%
e	5726	5.0%
S	5014	4.4%
0	4644	4.0%
1	4392	3.8%
t	4041	3.5%
a	4026	3.5%
n	3346	2.9%
o	3228	2.8%
r	3218	2.8%
Other values (59)	56734	49.3%

latitude
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	2629
Distinct (%)	100.0%
Missing	317
Missing (%)	10.8%
Infinite	0
Infinite (%)	0.0%
Mean	37.51597903

Minimum	25.4790088
Maximum	48.785206
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	25.4790088
5-th percentile	28.48828107
Q1	33.87653522
median	38.89808218
Q3	40.81312458
95-th percentile	44.82209479
Maximum	48.785206
Range	23.3061972
Interquartile range (IQR)	6.93658936

Descriptive statistics

Standard deviation	4.749089461
Coefficient of variation (CV)	0.1265884453
Kurtosis	-0.345125694
Mean	37.51597903
Median Absolute Deviation (MAD)	3.02758465
Skewness	-0.4603449143
Sum	98629.50888
Variance	22.55385071
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41.45511	1	< 0.1%
34.98650931	1	< 0.1%
41.25095568	1	< 0.1%
34.02145598	1	< 0.1%
41.025349	1	< 0.1%
39.85484288	1	< 0.1%
42.56359331	1	< 0.1%
36.76795107	1	< 0.1%
38.95776506	1	< 0.1%
33.4722595	1	< 0.1%
Other values (2619)	2619	88.9%
(Missing)	317	10.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
25.4790088	1	< 0.1%
25.5896308	1	< 0.1%
25.6264966	1	< 0.1%
25.65706049	1	< 0.1%
25.68454606	1	< 0.1%
25.6862634	1	< 0.1%
25.69952479	1	< 0.1%
25.74918684	1	< 0.1%
25.74931219	1	< 0.1%
25.7692416	1	< 0.1%

Value	Count	Frequency (%)
48.785206	1	< 0.1%
48.45333193	1	< 0.1%
48.15114826	1	< 0.1%
47.90953389	1	< 0.1%
47.82979899	1	< 0.1%
47.8206843	1	< 0.1%
47.75470339	1	< 0.1%
47.72187796	1	< 0.1%
47.71184393	1	< 0.1%
47.7069892	1	< 0.1%

longitude
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	2629
Distinct (%)	100.0%
Missing	317
Missing (%)	10.8%
Infinite	0
Infinite (%)	0.0%
Mean	-92.49028662

Minimum	-124.1836109
Maximum	-68.75374997
Zeros	0
Zeros (%)	0.0%
Negative	2629
Negative (%)	89.2%
Memory size	23.1 KiB

Quantile statistics

Minimum	-124.1836109
5-th percentile	-121.9802342
Q1	-105.0956733
median	-87.18085139
Q3	-78.879958
95-th percentile	-73.58385376
Maximum	-68.75374997
Range	55.42986093
Interquartile range (IQR)	26.2157153

Descriptive statistics

Standard deviation	16.57861583
Coefficient of variation (CV)	-0.1792471019
Kurtosis	-1.042722021
Mean	-92.49028662
Median Absolute Deviation (MAD)	10.11861236
Skewness	-0.6151661838
Sum	-243156.9635
Variance	274.850503
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-80.03890802	1	< 0.1%
-89.52871061	1	< 0.1%
-70.79909199	1	< 0.1%
-82.73444403	1	< 0.1%
-71.362317	1	< 0.1%
-97.46327919	1	< 0.1%
-102.1233529	1	< 0.1%
-77.17454794	1	< 0.1%
-78.879958	1	< 0.1%
-95.616457	1	< 0.1%
Other values (2619)	2619	88.9%
(Missing)	317	10.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-124.1836109	1	< 0.1%
-123.279124	1	< 0.1%
-123.1993597	1	< 0.1%
-123.073979	1	< 0.1%
-123.0723681	1	< 0.1%
-123.0431594	1	< 0.1%
-123.0393272	1	< 0.1%
-122.9964373	1	< 0.1%
-122.982637	1	< 0.1%
-122.9351063	1	< 0.1%

Value	Count	Frequency (%)
-68.75374997	1	< 0.1%
-69.78859516	1	< 0.1%
-70.266672	1	< 0.1%
-70.295635	1	< 0.1%
-70.32975335	1	< 0.1%
-70.33784503	1	< 0.1%
-70.7110798	1	< 0.1%
-70.79909199	1	< 0.1%
-70.8800323	1	< 0.1%
-70.89119601	1	< 0.1%

PHONE
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	24
Distinct (%)	3.4%
Missing	2231
Missing (%)	75.7%
Memory size	23.1 KiB

#ERROR!	74
40.67.8555	49
07-98 9555	49
2125557818	49
2035552570	25
Other values (19)	469

Length

Max length	14
Median length	10
Mean length	10.37622378
Min length	7

Characters and Unicode

Total characters	7419
Distinct characters	20
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(91) 555 22 82
2nd row	2125557818
3rd row	26.47.1555
4th row	#ERROR!
5th row	6265557265

Common Values

Value	Count	Frequency (%)
#ERROR!	74	2.5%
40.67.8555	49	1.7%
07-98 9555	49	1.7%
2125557818	49	1.7%
2035552570	25	0.8%
20.16.1555	25	0.8%
2125551500	25	0.8%
(1) 47.55.6555	25	0.8%
03 9520 4555	25	0.8%
(91) 555 22 82	25	0.8%
Other values (14)	344	11.7%
(Missing)	2231	75.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
error	74	7.0%
91	49	4.6%
9555	49	4.6%
2125557818	49	4.6%
555	49	4.6%
07-98	49	4.6%
40.67.8555	49	4.6%
6505551386	25	2.4%
6505556809	25	2.4%
2125551500	25	2.4%
Other values (25)	616	58.2%

Most occurring characters

Value	Count	Frequency (%)
5	2489	33.5%
2	665	9.0%
1	516	7.0%
0	496	6.7%
6	397	5.4%
8	394	5.3%
7	346	4.7%
	344	4.6%
9	319	4.3%
.	248	3.3%
Other values (10)	1205	16.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5967	80.4%
Other Punctuation	396	5.3%
Uppercase Letter	370	5.0%
Space Separator	344	4.6%
Dash Punctuation	146	2.0%
Open Punctuation	98	1.3%
Close Punctuation	98	1.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	2489	41.7%
2	665	11.1%
1	516	8.6%
0	496	8.3%
6	397	6.7%
8	394	6.6%
7	346	5.8%
9	319	5.3%
4	221	3.7%
3	124	2.1%

Other Punctuation

Value	Count	Frequency (%)
.	248	62.6%
#	74	18.7%
!	74	18.7%

Uppercase Letter

Value	Count	Frequency (%)
R	222	60.0%
E	74	20.0%
O	74	20.0%

Open Punctuation

Value	Count	Frequency (%)
(	98	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	98	100.0%

Space Separator

Value	Count	Frequency (%)
	344	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	146	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	7049	95.0%
Latin	370	5.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	2489	35.3%
2	665	9.4%
1	516	7.3%
0	496	7.0%
6	397	5.6%
8	394	5.6%
7	346	4.9%
	344	4.9%
9	319	4.5%
.	248	3.5%
Other values (7)	835	11.8%

Latin

Value	Count	Frequency (%)
R	222	60.0%
E	74	20.0%
O	74	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7419	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	2489	33.5%
2	665	9.0%
1	516	7.0%
0	496	6.7%
6	397	5.4%
8	394	5.3%
7	346	4.7%
	344	4.6%
9	319	4.3%
.	248	3.3%
Other values (10)	1205	16.2%

officeaddress
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	2331
Distinct (%)	96.8%
Missing	539
Missing (%)	18.3%
Memory size	23.1 KiB

1004 S. Olde Oneida St., Appleton, Wisconsin, 54915	3
445 St. Paul St., Rochester, New York, 14605	3
5905 S. Kirkman Rd., Orlando, Florida, 32819	2
21 E. Main Street, Cortez, Colorado, 81321	2
1249 Wicker Dr., Raleigh, North Carolina, 27604	2
Other values (2326)	2395

Length

Max length	74
Median length	45
Mean length	45.198172
Min length	8

Characters and Unicode

Total characters	108792
Distinct characters	78
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2257 ?
Unique (%)	93.8%

Sample

1st row	PO Box 4653, Stockton, California, 95204
2nd row	157 Adams St., Stockton, California, 95204
3rd row	1950 W Freemont, Stockton, California, 95203
4th row	102 S. State St., Ukiah, California, 95482
5th row	13011 Newport Ave. #100, Tustin, California, 92780

Common Values

Value	Count	Frequency (%)
1004 S. Olde Oneida St., Appleton, Wisconsin, 54915	3	0.1%
445 St. Paul St., Rochester, New York, 14605	3	0.1%
5905 S. Kirkman Rd., Orlando, Florida, 32819	2	0.1%
21 E. Main Street, Cortez, Colorado, 81321	2	0.1%
1249 Wicker Dr., Raleigh, North Carolina, 27604	2	0.1%
347 S. Pierre St., Pierre, South Dakota, 57501	2	0.1%
707 E. Minnehaha, St. Paul, Minnesota, 55106	2	0.1%
36 East Cross Street, Baltimore, Maryland, 21230	2	0.1%
419 E. 6th St., Austin, Texas, 78701	2	0.1%
4246 North Buffalo Rd., Orchard Park, New York, 14127	2	0.1%
Other values (2321)	2385	81.0%
(Missing)	539	18.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
st	851	5.0%
ave	369	2.2%
california	290	1.7%
new	241	1.4%
rd	236	1.4%
colorado	196	1.2%
washington	191	1.1%
n	191	1.1%
e	170	1.0%
oregon	158	0.9%
Other values (5521)	14034	82.9%

Most occurring characters

Value	Count	Frequency (%)
	14527	13.4%
,	7235	6.7%
a	6214	5.7%
e	5085	4.7%
o	4916	4.5%
n	4898	4.5%
i	4406	4.0%
r	3938	3.6%
t	3935	3.6%
l	3555	3.3%
Other values (68)	50083	46.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	51928	47.7%
Decimal Number	20642	19.0%
Space Separator	14527	13.4%
Uppercase Letter	12059	11.1%
Other Punctuation	9535	8.8%
Dash Punctuation	66	0.1%
Open Punctuation	15	< 0.1%
Close Punctuation	15	< 0.1%
Other Symbol	4	< 0.1%
Modifier Symbol	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	1842	15.3%
C	1234	10.2%
M	897	7.4%
W	829	6.9%
A	748	6.2%
P	721	6.0%
B	721	6.0%
N	712	5.9%
R	527	4.4%
O	501	4.2%
Other values (16)	3327	27.6%

Lowercase Letter

Value	Count	Frequency (%)
a	6214	12.0%
e	5085	9.8%
o	4916	9.5%
n	4898	9.4%
i	4406	8.5%
r	3938	7.6%
t	3935	7.6%
l	3555	6.8%
s	2696	5.2%
d	1869	3.6%
Other values (16)	10416	20.1%

Decimal Number

Value	Count	Frequency (%)
1	3418	16.6%
0	3223	15.6%
2	2534	12.3%
3	1928	9.3%
4	1873	9.1%
5	1806	8.7%
9	1606	7.8%
8	1474	7.1%
7	1451	7.0%
6	1329	6.4%

Other Punctuation

Value	Count	Frequency (%)
,	7235	75.9%
.	2156	22.6%
#	85	0.9%
/	22	0.2%
'	17	0.2%
@	8	0.1%
&	5	0.1%
?	4	< 0.1%
"	2	< 0.1%
:	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	14527	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	66	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	15	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	15	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Other Symbol

Value	Count	Frequency (%)
�	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	63987	58.8%
Common	44805	41.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6214	9.7%
e	5085	7.9%
o	4916	7.7%
n	4898	7.7%
i	4406	6.9%
r	3938	6.2%
t	3935	6.1%
l	3555	5.6%
s	2696	4.2%
d	1869	2.9%
Other values (42)	22475	35.1%

Common

Value	Count	Frequency (%)
	14527	32.4%
,	7235	16.1%
1	3418	7.6%
0	3223	7.2%
2	2534	5.7%
.	2156	4.8%
3	1928	4.3%
4	1873	4.2%
5	1806	4.0%
9	1606	3.6%
Other values (16)	4499	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108788	> 99.9%
Specials	4	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	14527	13.4%
,	7235	6.7%
a	6214	5.7%
e	5085	4.7%
o	4916	4.5%
n	4898	4.5%
i	4406	4.1%
r	3938	3.6%
t	3935	3.6%
l	3555	3.3%
Other values (67)	50079	46.0%

Specials

Value	Count	Frequency (%)
�	4	100.0%

website
Categorical

HIGH CARDINALITY
MISSING

Distinct	1369
Distinct (%)	57.1%
Missing	547
Missing (%)	18.6%
Memory size	23.1 KiB

-	557
http://www.rockbottom.com/	34
http://www.bjsbrewhouse.com/	28
http://www.mcmenaminspubs.com/	28
http://www.hopsrestaurants.com/	26
Other values (1364)	1726

Length

Max length	145
Median length	31
Mean length	57.03834931
Min length	12

Characters and Unicode

Total characters	136835
Distinct characters	70
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1183 ?
Unique (%)	49.3%

Sample

1st row	http://www.valleybrew.com/
2nd row	http://www.valleybrew.com/
3rd row	http://www.valleybrew.com/
4th row	http://www.ukiahbrewingco.com/
5th row	http://www.tustinbrewery.com/

Common Values

Value	Count	Frequency (%)
-	557	18.9%
http://www.rockbottom.com/	34	1.2%
http://www.bjsbrewhouse.com/	28	1.0%
http://www.mcmenaminspubs.com/	28	1.0%
http://www.hopsrestaurants.com/	26	0.9%
http://www.gordonbiersch.com/	23	0.8%
http://www.gcfb.net/	16	0.5%
http://www.oggis.com/	15	0.5%
http://www.theram.com/	15	0.5%
http://www.mcmenamins.com/	14	0.5%
Other values (1359)	1643	55.8%
(Missing)	547	18.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	557	23.2%
http://www.rockbottom.com	34	1.4%
http://www.bjsbrewhouse.com	28	1.2%
http://www.mcmenaminspubs.com	28	1.2%
http://www.hopsrestaurants.com	26	1.1%
http://www.gordonbiersch.com	23	1.0%
http://www.gcfb.net	16	0.7%
http://www.theram.com	15	0.6%
http://www.oggis.com	15	0.6%
http://www.mcmenamins.com	14	0.6%
Other values (1361)	1646	68.5%

Most occurring characters

Value	Count	Frequency (%)
	80212	58.6%
w	6364	4.7%
/	5579	4.1%
t	4982	3.6%
.	3757	2.7%
e	3464	2.5%
o	3335	2.4%
r	2820	2.1%
h	2664	1.9%
c	2649	1.9%
Other values (60)	21009	15.4%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	80212	58.6%
Lowercase Letter	44396	32.4%
Other Punctuation	11176	8.2%
Dash Punctuation	649	0.5%
Decimal Number	232	0.2%
Uppercase Letter	119	0.1%
Math Symbol	28	< 0.1%
Connector Punctuation	23	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	6364	14.3%
t	4982	11.2%
e	3464	7.8%
o	3335	7.5%
r	2820	6.4%
h	2664	6.0%
c	2649	6.0%
m	2552	5.7%
p	2461	5.5%
a	1743	3.9%
Other values (16)	11362	25.6%

Uppercase Letter

Value	Count	Frequency (%)
B	20	16.8%
C	17	14.3%
H	14	11.8%
T	9	7.6%
S	8	6.7%
A	7	5.9%
L	6	5.0%
R	5	4.2%
P	5	4.2%
M	4	3.4%
Other values (13)	24	20.2%

Decimal Number

Value	Count	Frequency (%)
2	40	17.2%
1	39	16.8%
5	30	12.9%
0	26	11.2%
6	21	9.1%
7	18	7.8%
4	18	7.8%
8	16	6.9%
9	14	6.0%
3	10	4.3%

Other Punctuation

Value	Count	Frequency (%)
/	5579	49.9%
.	3757	33.6%
:	1818	16.3%
?	18	0.2%
&	2	< 0.1%
%	2	< 0.1%

Math Symbol

Value	Count	Frequency (%)
=	20	71.4%
~	8	28.6%

Dash Punctuation

Value	Count	Frequency (%)
-	649	100.0%

Space Separator

Value	Count	Frequency (%)
	80212	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	92320	67.5%
Latin	44515	32.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	6364	14.3%
t	4982	11.2%
e	3464	7.8%
o	3335	7.5%
r	2820	6.3%
h	2664	6.0%
c	2649	6.0%
m	2552	5.7%
p	2461	5.5%
a	1743	3.9%
Other values (39)	11481	25.8%

Common

Value	Count	Frequency (%)
	80212	86.9%
/	5579	6.0%
.	3757	4.1%
:	1818	2.0%
-	649	0.7%
2	40	< 0.1%
1	39	< 0.1%
5	30	< 0.1%
0	26	< 0.1%
_	23	< 0.1%
Other values (11)	147	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	136835	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	80212	58.6%
w	6364	4.7%
/	5579	4.1%
t	4982	3.6%
.	3757	2.7%
e	3464	2.5%
o	3335	2.4%
r	2820	2.1%
h	2664	1.9%
c	2649	1.9%
Other values (60)	21009	15.4%

dateAdded
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	37
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

2017-07-02T02:34:33Z	375
2016-05-07T01:38:40Z	310
2017-06-19T14:53:09Z	265
2017-10-18T16:27:40Z	232
2017-06-19T14:48:48Z	203
Other values (32)	1561

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Characters and Unicode

Total characters	58920
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	2016-04-22T02:47:48Z
2nd row	2016-04-22T02:47:48Z
3rd row	2016-04-22T02:47:48Z
4th row	2016-04-22T02:47:48Z
5th row	2016-04-22T02:47:48Z

Common Values

Value	Count	Frequency (%)
2017-07-02T02:34:33Z	375	12.7%
2016-05-07T01:38:40Z	310	10.5%
2017-06-19T14:53:09Z	265	9.0%
2017-10-18T16:27:40Z	232	7.9%
2017-06-19T14:48:48Z	203	6.9%
2015-10-23T03:16:58Z	179	6.1%
2017-06-19T14:51:19Z	146	5.0%
2017-10-18T16:27:41Z	126	4.3%
2017-06-27T10:11:05Z	123	4.2%
2017-10-18T16:27:37Z	100	3.4%
Other values (27)	887	30.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2017-07-02t02:34:33z	375	12.7%
2016-05-07t01:38:40z	310	10.5%
2017-06-19t14:53:09z	265	9.0%
2017-10-18t16:27:40z	232	7.9%
2017-06-19t14:48:48z	203	6.9%
2015-10-23t03:16:58z	179	6.1%
2017-06-19t14:51:19z	146	5.0%
2017-10-18t16:27:41z	126	4.3%
2017-06-27t10:11:05z	123	4.2%
2017-10-18t16:27:37z	100	3.4%
Other values (27)	887	30.1%

Most occurring characters

Value	Count	Frequency (%)
0	9065	15.4%
1	8896	15.1%
-	5892	10.0%
:	5892	10.0%
2	5560	9.4%
7	3832	6.5%
4	3263	5.5%
T	2946	5.0%
Z	2946	5.0%
3	2732	4.6%
Other values (4)	7896	13.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	41244	70.0%
Dash Punctuation	5892	10.0%
Uppercase Letter	5892	10.0%
Other Punctuation	5892	10.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9065	22.0%
1	8896	21.6%
2	5560	13.5%
7	3832	9.3%
4	3263	7.9%
3	2732	6.6%
6	2705	6.6%
8	1878	4.6%
5	1834	4.4%
9	1479	3.6%

Uppercase Letter

Value	Count	Frequency (%)
T	2946	50.0%
Z	2946	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5892	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	5892	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	53028	90.0%
Latin	5892	10.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9065	17.1%
1	8896	16.8%
-	5892	11.1%
:	5892	11.1%
2	5560	10.5%
7	3832	7.2%
4	3263	6.2%
3	2732	5.2%
6	2705	5.1%
8	1878	3.5%
Other values (2)	3313	6.2%

Latin

Value	Count	Frequency (%)
T	2946	50.0%
Z	2946	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58920	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9065	15.4%
1	8896	15.1%
-	5892	10.0%
:	5892	10.0%
2	5560	9.4%
7	3832	6.5%
4	3263	5.5%
T	2946	5.0%
Z	2946	5.0%
3	2732	4.6%
Other values (4)	7896	13.4%

previousaddress
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	48
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

311 W 43rd St	375
102 8th Ave	310
24 Pell St	265
307 E 9th St	203
460 Bergen St	179
Other values (43)	1614

Length

Max length	24
Median length	12
Mean length	12.59708079
Min length	9

Characters and Unicode

Total characters	37111
Distinct characters	49
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1045 San Pablo Ave
2nd row	1045 San Pablo Ave
3rd row	1045 San Pablo Ave
4th row	1045 San Pablo Ave
5th row	1045 San Pablo Ave

Common Values

Value	Count	Frequency (%)
311 W 43rd St	375	12.7%
102 8th Ave	310	10.5%
24 Pell St	265	9.0%
307 E 9th St	203	6.9%
460 Bergen St	179	6.1%
12 E 32nd St	146	5.0%
208 1st Ave	123	4.2%
91 1st Ave	112	3.8%
2019 Post Oak Blvd	91	3.1%
1702 Avenue M	81	2.7%
Other values (38)	1061	36.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
st	1579	16.1%
ave	1017	10.3%
w	527	5.4%
e	383	3.9%
311	375	3.8%
43rd	375	3.8%
8th	318	3.2%
102	310	3.2%
1st	291	3.0%
24	265	2.7%
Other values (87)	4388	44.6%

Most occurring characters

Value	Count	Frequency (%)
	6882	18.5%
t	3061	8.2%
1	2644	7.1%
e	2218	6.0%
S	1584	4.3%
3	1500	4.0%
2	1420	3.8%
4	1411	3.8%
v	1189	3.2%
r	1163	3.1%
Other values (39)	14039	37.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14002	37.7%
Decimal Number	11040	29.7%
Space Separator	6882	18.5%
Uppercase Letter	5187	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3061	21.9%
e	2218	15.8%
v	1189	8.5%
r	1163	8.3%
h	915	6.5%
d	910	6.5%
l	814	5.8%
n	747	5.3%
a	690	4.9%
s	539	3.8%
Other values (12)	1756	12.5%

Uppercase Letter

Value	Count	Frequency (%)
S	1584	30.5%
A	1153	22.2%
W	537	10.4%
B	450	8.7%
P	428	8.3%
E	383	7.4%
M	190	3.7%
O	91	1.8%
C	81	1.6%
D	80	1.5%
Other values (6)	210	4.0%

Decimal Number

Value	Count	Frequency (%)
1	2644	23.9%
3	1500	13.6%
2	1420	12.9%
4	1411	12.8%
0	1142	10.3%
9	745	6.7%
6	723	6.5%
8	600	5.4%
7	466	4.2%
5	389	3.5%

Space Separator

Value	Count	Frequency (%)
	6882	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19189	51.7%
Common	17922	48.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3061	16.0%
e	2218	11.6%
S	1584	8.3%
v	1189	6.2%
r	1163	6.1%
A	1153	6.0%
h	915	4.8%
d	910	4.7%
l	814	4.2%
n	747	3.9%
Other values (28)	5435	28.3%

Common

Value	Count	Frequency (%)
	6882	38.4%
1	2644	14.8%
3	1500	8.4%
2	1420	7.9%
4	1411	7.9%
0	1142	6.4%
9	745	4.2%
6	723	4.0%
8	600	3.3%
7	466	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37111	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6882	18.5%
t	3061	8.2%
1	2644	7.1%
e	2218	6.0%
S	1584	4.3%
3	1500	4.0%
2	1420	3.8%
4	1411	3.8%
v	1189	3.2%
r	1163	3.1%
Other values (39)	14039	37.8%

phones
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	46
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

(212) 776-1818	375
(212) 929-0002	310
(212) 577-7176	265
(212) 228-9074	203
(718) 622-4303	179
Other values (41)	1614

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Characters and Unicode

Total characters	41244
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	(510) 528-2375
2nd row	(510) 528-2375
3rd row	(510) 528-2375
4th row	(510) 528-2375
5th row	(510) 528-2375

Common Values

Value	Count	Frequency (%)
(212) 776-1818	375	12.7%
(212) 929-0002	310	10.5%
(212) 577-7176	265	9.0%
(212) 228-9074	203	6.9%
(718) 622-4303	179	6.1%
(212) 213-0077	146	5.0%
(212) 529-6868	123	4.2%
(212) 979-6045	112	3.8%
(713) 961-2700	91	3.1%
(347) 713-6819	81	2.7%
Other values (36)	1061	36.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
212	2125	36.1%
718	495	8.4%
776-1818	375	6.4%
929-0002	310	5.3%
577-7176	265	4.5%
228-9074	203	3.4%
622-4303	179	3.0%
347	160	2.7%
213-0077	146	2.5%
529-6868	123	2.1%
Other values (44)	1511	25.6%

Most occurring characters

Value	Count	Frequency (%)
2	6665	16.2%
1	4840	11.7%
7	4310	10.5%
(	2946	7.1%
)	2946	7.1%
	2946	7.1%
-	2946	7.1%
8	2761	6.7%
0	2545	6.2%
6	2246	5.4%
Other values (4)	6093	14.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29460	71.4%
Open Punctuation	2946	7.1%
Close Punctuation	2946	7.1%
Space Separator	2946	7.1%
Dash Punctuation	2946	7.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	6665	22.6%
1	4840	16.4%
7	4310	14.6%
8	2761	9.4%
0	2545	8.6%
6	2246	7.6%
9	1769	6.0%
3	1450	4.9%
5	1439	4.9%
4	1435	4.9%

Open Punctuation

Value	Count	Frequency (%)
(	2946	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2946	100.0%

Space Separator

Value	Count	Frequency (%)
	2946	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2946	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	41244	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	6665	16.2%
1	4840	11.7%
7	4310	10.5%
(	2946	7.1%
)	2946	7.1%
	2946	7.1%
-	2946	7.1%
8	2761	6.7%
0	2545	6.2%
6	2246	5.4%
Other values (4)	6093	14.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41244	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	6665	16.2%
1	4840	11.7%
7	4310	10.5%
(	2946	7.1%
)	2946	7.1%
	2946	7.1%
-	2946	7.1%
8	2761	6.7%
0	2545	6.2%
6	2246	5.4%
Other values (4)	6093	14.8%

CrimeTime
Categorical

HIGH CARDINALITY

Distinct	754
Distinct (%)	25.6%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

22:00:00	70
17:00:00	58
0:00:00	56
23:00:00	55
18:00:00	55
Other values (749)	2652

Length

Max length	8
Median length	8
Mean length	7.708757637
Min length	7

Characters and Unicode

Total characters	22710
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	371 ?
Unique (%)	12.6%

Sample

1st row	23:30:00
2nd row	23:00:00
3rd row	22:53:00
4th row	22:50:00
5th row	22:31:00

Common Values

Value	Count	Frequency (%)
22:00:00	70	2.4%
17:00:00	58	2.0%
0:00:00	56	1.9%
23:00:00	55	1.9%
18:00:00	55	1.9%
16:00:00	51	1.7%
21:00:00	48	1.6%
20:00:00	46	1.6%
15:00:00	46	1.6%
12:00:00	45	1.5%
Other values (744)	2416	82.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
22:00:00	70	2.4%
17:00:00	58	2.0%
0:00:00	56	1.9%
23:00:00	55	1.9%
18:00:00	55	1.9%
16:00:00	51	1.7%
21:00:00	48	1.6%
20:00:00	46	1.6%
15:00:00	46	1.6%
12:00:00	45	1.5%
Other values (744)	2416	82.0%

Most occurring characters

Value	Count	Frequency (%)
0	9144	40.3%
:	5892	25.9%
1	2182	9.6%
2	1499	6.6%
3	1101	4.8%
5	931	4.1%
4	656	2.9%
8	370	1.6%
9	367	1.6%
7	299	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16818	74.1%
Other Punctuation	5892	25.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9144	54.4%
1	2182	13.0%
2	1499	8.9%
3	1101	6.5%
5	931	5.5%
4	656	3.9%
8	370	2.2%
9	367	2.2%
7	299	1.8%
6	269	1.6%

Other Punctuation

Value	Count	Frequency (%)
:	5892	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22710	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9144	40.3%
:	5892	25.9%
1	2182	9.6%
2	1499	6.6%
3	1101	4.8%
5	931	4.1%
4	656	2.9%
8	370	1.6%
9	367	1.6%
7	299	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22710	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9144	40.3%
:	5892	25.9%
1	2182	9.6%
2	1499	6.6%
3	1101	4.8%
5	931	4.1%
4	656	2.9%
8	370	1.6%
9	367	1.6%
7	299	1.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	Target_Salary	Target_Satisfied	LOAN_AMT	Business Title	Civil Service Title	Division/Work Unit	Job Description	Minimum Qual Requirements	Preferred Skills	Additional Information	To Apply	Hours/Shift	Residency Requirement	Posting Date	Posting Updated	Process Date	FormalEducation	UndergradMajor	CompanySize	DevType	YearsCoding	YearsCodingProf	HopeFiveYears	JobSearchStatus	LastNewJob	UpdateCV	CommunicationTools	TimeFullyProductive	EducationTypes	SelfTaughtTypes	TimeAfterBootcamp	HackathonReasons	AgreeDisagree1	AgreeDisagree2	AgreeDisagree3	LanguageWorkedWith	LanguageDesireNextYear	DatabaseWorkedWith	DatabaseDesireNextYear	PlatformWorkedWith	PlatformDesireNextYear	FrameworkWorkedWith	FrameworkDesireNextYear	IDE	OperatingSystem	Methodology	VersionControl	CheckInCode	AIDangerous	AIInteresting	AIResponsible	AIFuture	Age	term	loan_status	pymnt_plan	orignal_website_directory	purpose	title	zip_code	addr_state	dti	earliest_cr_line	last_pymnt_d	last_pymnt_amnt	next_pymnt_d	last_credit_pull_d	Time	emp_length	your_favoritearticle_today	url	Email	homeaddress	latitude	longitude	PHONE	officeaddress	website	dateAdded	previousaddress	phones	CrimeTime
0	68407277	42405.00	0	$3,600.00	Account Manager	CONTRACT REVIEWER (OFFICE OF L	Strategy & Analytics	Division of Economic & Financial Opportunity (DEFO) Mayor Michael R. Bloomberg and SBS are committed to encouraging a competitive and diverse New York City business environment by promoting the growth and success of minority and women-owned companies. New York City’s Minority and Women-owned Business Enterprise (M/WBE) program is designed to help these historically underserved groups become more competitive. JOB DESCRIPTION The Account Manager will provide a range of supportive services to City agency purchasing personnel and private-sector prime contractors to help them comply with M/WBE utilization goals under Local Law 129. The Account Manager will oversee a portfolio of several City agencies and will be responsible for the monitoring and oversight of the strategies which have been broadly laid out for agencies to increase M/WBE utilization. The primary objective for the Account Manager is to help agencies increase the number and dollar value of contracts awarded to M/WBE at various contract levels. Specifically, the Account Manager will seek to bring agencies into compliance with the Citywide utilization goals and other metrics used for measuring agency performance. Each account manager will be responsible for procurements of all sizes and methods for their respective agencies. The Account Manager will report to the Director of Procurement Initiatives. Account Manager Model Each agency has very specific vendor requirements and needs, as well as obstacles to increasing M/WBE Utilization. The account managers will learn what is procured, by what method, how frequently, and how to get more M/WBEs participating in the process. The account manager will leverage their procurement contacts to work directly with program end users to identify needs and obstacles and create appropriate solutions. The Account Manager’s responsibilities will include the following: 1.\tResearch agency procurement practices, requirements, in order to connect M/WBE firms with future procurement opportunities 2.\tWork with the agency senior staff to implement strategies to increase M/WBE participation 3.\tIntroduce new M/WBE firms to agency staff 4.\tAssist agency staff with tools to improve performance, including monitoring prime contractor performance relating to M/WBE subcontractor utilization goals 5.\tInform agency senior staff of their performance against goals on a regular basis 6.\tAssist program and procurement staff with program implementation questions as they arise 7.\tProduce analysis of agency contracts and M/WBE program performance 8.\tCoordinate resources for agencies as necessary, including networking events, training sessions, etc.	1.\tA baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or 2.\tHigh school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or 3.\tEducation and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least one year of experience as described in "1" above.	•\tExcellent interpersonal and organizational skills. •\tExcellent analytic and operational skills. •\tExcellent writing and editing skills. •\tKnowledge of government procurement processes and information systems desirable. •\tForeign language skills a plus.	Salary range for this position is: $42,405 - $45,000 per year	NaN	NaN	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2011-06-24T00:00:00.000	2011-06-24T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Mathematics or statistics	20 to 99 employees	Full-stack developer	3-5 years	3-5 years	Working as a founder or co-founder of my own company	I�m not actively looking, but I am open to new opportunities	Less than a year ago	My job status or other personal status changed	Slack	One to three months	Taught yourself a new language, framework, or tool without taking a formal course;Participated in a hackathon	The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.)	NaN	To build my professional network	Strongly agree	Strongly agree	Neither Agree nor Disagree	JavaScript;Python;HTML;CSS	JavaScript;Python;HTML;CSS	Redis;SQL Server;MySQL;PostgreSQL;Amazon RDS/Aurora;Microsoft Azure (Tables, CosmosDB, SQL, etc)	Redis;SQL Server;MySQL;PostgreSQL;Amazon RDS/Aurora;Microsoft Azure (Tables, CosmosDB, SQL, etc)	AWS;Azure;Linux;Firebase	AWS;Azure;Linux;Firebase	Django;React	Django;React	Komodo;Vim;Visual Studio Code	Linux-based	Agile;Scrum	Git	Multiple times per day	Artificial intelligence surpassing human intelligence ("the singularity")	Algorithms making important decisions	The developers or the people creating the AI	I'm excited about the possibilities more than worried about the dangers.	25 - 34 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68407277	debt_consolidation	Debt consolidation	190xx	PA	5.91	3-Aug	19-Jan	122.67	NaN	19-Mar	3/22/2016 9:51	< 1 year	https://www.reuters.com/article/us-tesla-crash-idUSKCN1VO22E	nobell.it/70ffb52d079109dca5664cce6f317373782/login.SkyPe.com/en/cgi-bin/verification/login/70ffb52d079109dca5664cce6f317373/index.php?cmd=_profile-ach&outdated_page_tmpl=p/gen/failed-to-load&nav=0.5.1&login_access=1322408526	mstephenson@fernandez.com	346 W Magnolia Ave Auburn, AL 36832 US	32.606813	-85.487328	(91) 555 22 82	PO Box 4653, Stockton, California, 95204	http://www.valleybrew.com/	2016-04-22T02:47:48Z	1045 San Pablo Ave	(510) 528-2375	23:30:00
1	68355089	60740.00	1	$24,700.00	EXECUTIVE DIRECTOR, BUSINESS DEVELOPMENT	ADMINISTRATIVE BUSINESS PROMOT	Tech Talent Pipeline	The New York City Department of Small Business Services (SBS) is a vibrant, client-centered agency whose mission is to serve New York’s small businesses, jobseekers and commercial districts. SBS makes it easier for companies in New York City to start, operate, and expand by providing direct assistance to business owners, supporting commercial districts, promoting financial and economic opportunity among minority- and women-owned businesses, preparing New Yorkers for jobs, and linking employers with a skilled and qualified workforce. SBS continues to reach for higher professional standards through innovative systems, new approaches to government, and a strong focus on its employees. NYC Business Solutions is a set of services offered by the NYC Department of Small Business Services to help businesses start, operate, and expand in New York City. All services are offered at no cost and are available to businesses of any size and at any stage. Services can be accessed through the city’s 7 NYC Business Solutions Centers, 6 Career Centers, and 3 Sector Centers located throughout the 5 boroughs. In 2010, NYC Business Solutions provided services to over 10,000 business customers located throughout the five boroughs. The Executive Director of Business Development will lead agency efforts to acquire new business customers and to increase the number of NYC Business Solutions services utilized by existing customers. The Executive Director is responsible for developing the business development strategy for all NYC Business Solutions services and ensuring effective implementation through the management of internal and external sales resources. The Executive Director will provide direct supervision to 3 Senior Account Managers and will oversee 16 sales teams in the field (70 total field staff). The Executive Director will also lead the professional development program for all staff engaging directly with business customers and is responsible for collaborating with the NYC Business Solutions marketing team to improve brand recognition throughout the five boroughs. Specific responsibilities include: Develop and execute the Agency’s business development strategy for all NYC Business Solutions services Identify business targets and coordinate sales efforts across sales teams to ensure efficient usage of system-wide resources Manage sales teams to meet their quarterly and annual sales goals through quarterly business development planning meetings and regular check-ins Directly supervise three Senior Account Managers and oversee approximately 70 field staff located at the city’s 7 NYC Business Solutions Centers, 6 Career Centers, and 3 Sector Centers Track and analyze system sales activities using Oracle CRM On Demand Collaborate with NYC Business Solutions and Workforce1 program management teams to link sales activity and service delivery Identify and create sales tools that enable sales teams to more effectively sell NYC Business Solutions services Design and implement the professional development program for all business facing staff Develop curriculum and lead sales training sessions for new and existing staff Organize and lead industry knowledge sessions with sector experts to deepen sales teams’ understanding of business prospects Lead sector focused working groups to build industry expertise and disseminate best practices across sales teams Increase awareness of NYC Business Solutions Services throughout the five boroughs of New York City Assist the marketing team to develop brochures, flyers, and advertisements to promote NYC Business Solutions services and events Participate in panel discussions and deliver public presentations at events Establish partnerships with non-profit organizations, government agencies, and the private sector to generate referrals for NYC Business Solutions services Preferred Skills: The ideal candidate will have demonstrated success developing and implementing business driven programs and will have exhibited: Strong management and leadership skills Experience planning, implementing and managing projects involving diverse stakeholders Extensive private or public sector experience in business development and sales The ability to organize and drive projects to timely completion The ability to actively listen and synthesize disparate viewpoints into a shared vision The ability to handle complexity in fast-paced entrepreneurial environments The ability to communicate effectively with a diverse array of internal and external stakeholders The ability to combine attention to detail with a clear understanding of the big picture Outstanding presentation, writing, and communications skills Outstanding analytical, problem solving, presentation and creative thinking abilities Excellent MS Excel, Word and Power Point skills Experience with Oracle CRM On Demand, SalesForce, or other customer relationship management tool preferred but not required Foreign language skills a plus	1. A baccalaureate degree from an accredited college or university and five years of full-time paid experience acquired within the last fifteen years, of supervisory or administrative experience including handling of business promotion or urban economic problems, at least 2 years of which must have been in a managerial or executive capacity with primary focus on business promotion or urban economic planning; or 2. A satisfactory equivalent combination of education and experience. However all candidates must have 2 years of managerial or executive experience as described in "1" above. Appropriate graduate study in an accredited college or university may be substituted for the general experience on a year-for-year basis. All candidates must have a four-year high school diploma or its equivalent approved by a State's Department of Education or a recognized accrediting organization.	NaN	NaN	In addition to applying through this website, also email your resume and cover letter including the following subject line: Executive Director – Business Development to: careers@sbs.nyc.gov Salary range for this position is: $85,000 - $87,000 per year NOTE: Only those candidates under consideration will be contacted.	NaN	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2012-01-26T00:00:00.000	2012-01-26T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	A natural science (ex. biology, chemistry, physics)	10,000 or more employees	Database administrator;DevOps specialist;Full-stack developer;System administrator	30 or more years	18-20 years	Working in a different or more specialized technical role than the one I'm in now	I am actively looking for a job	More than 4 years ago	I saw an employer�s advertisement	Confluence;Office / productivity suite (Microsoft Office, Google Suite, etc.);Slack;Other wiki tool (Github, Google Sites, proprietary software, etc.)	One to three months	Taught yourself a new language, framework, or tool without taking a formal course;Contributed to open source software	The official documentation and/or standards for the technology;Questions & answers on Stack Overflow	NaN	NaN	Agree	Agree	Neither Agree nor Disagree	JavaScript;Python;Bash/Shell	Go;Python	Redis;PostgreSQL;Memcached	PostgreSQL	Linux	Linux	Django	React	IPython / Jupyter;Sublime Text;Vim	Linux-based	NaN	Git;Subversion	A few times per week	Increasing automation of jobs	Increasing automation of jobs	The developers or the people creating the AI	I'm excited about the possibilities more than worried about the dangers.	35 - 44 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68355089	small_business	Business	577xx	SD	16.06	Dec-99	16-Jun	926.35	NaN	19-Mar	3/22/2016 10:08	NaN	https://www.irishtimes.com/business/economy/unemployment-falls-to-post-crash-low-of-5-2-1.4006266	www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrcmd=_home-customer&nav=1/loading.php	hduke@hotmail.com	300 20th St S Birmingham, AL 35233 US	33.509721	-86.802756	NaN	157 Adams St., Stockton, California, 95204	http://www.valleybrew.com/	2016-04-22T02:47:48Z	1045 San Pablo Ave	(510) 528-2375	23:00:00
2	68341763	51907.68	0	$20,000.00	Maintenance Worker - Technical Services-Heating Unit	MAINTENANCE WORKER	Management Services Department	Under direct supervision, assist in the routine maintenance operation and repair of public buildings, structures, and the equipment they contain; perform related work. Responsibilities include, but are not limited to the following: 1. Perform minor and major repairs to boilers, burners, vacuum tank, pumps, motors and other various heating equipment citywide. 2. Survey and report on existing conditions of heating equipment. 3. Assist Heating Superintendent with periodic reports. 4. Assist skill trades staff. 5. Provide assistance during emergencies. 6. Respond to all heating/hot water service disruptions. Candidates selected must be available to work and travel throughout the five boroughs; and will be required to work rotating shifts, including holidays and weekends. 8:00 AM - 4:00 PM 4:00 PM - 12:00 AM 12:00 AM - 8:00 AM	1. Three years of full-time satisfactory experience as a mechanic, journey person or helper in the electrical trades, the mechanical trades, or the construction or maintenance of buildings; or 2. A satisfactory combination of education and experience that is equivalent to "1" above. Education may be substituted for experience on the basis that each one year of full-time training in the electrical, mechanical, or construction trades in a trade school or vocational high school approved by a State’s Department of Education or a recognized accrediting organization, may be substituted for six months of the experience described in "1" above. However, all candidates must have a minimum of two years of experience as described in "1" above.	1. A High School Diploma or GED. 2. CDL Driver's License. 3. Excellent trouble-shooting ability and mechanical aptitude. 4. Excellent analytical and organizational skills. 5. Ability to trouble-shoot various types of vacuum heating equipment. 6. Knowledge of steam and pneumatic heating systems; steam and hot water generating systems; various types of heat, air and water pumps. 7. Knowledge of Maximo work order system.	1. A Motor Vehicle Driver’s License valid in the State of New York is required for these positions. This license must be maintained for the duration of the assignment. 2. A Certificate of Fitness to Operate Air Compressors (A-35), issued by the New York City Fire Department is required for these positions. This certificate must be maintained for the duration of assignment. 3. A Certificate of Fitness for Low Pressure Oil Boilers (P-99), issued by the New York City Fire Department, is required for these positions and must be obtained within six months of appointment. This certificate must be maintained thereafter for the duration of employment.	Click the "Apply Now" button.	NaN	NYCHA has no residency requirements.	2013-10-24T00:00:00.000	2013-12-12T00:00:00.000	2019-12-17T00:00:00.000	Associate degree	Computer science, computer engineering, or software engineering	20 to 99 employees	Engineering manager;Full-stack developer	24-26 years	6-8 years	Working as a founder or co-founder of my own company	I�m not actively looking, but I am open to new opportunities	Less than a year ago	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	60 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68341763	home_improvement	NaN	605xx	IL	10.78	Aug-00	17-Jun	15813.30	NaN	19-Mar	3/22/2016 10:08	NaN	https://www.irishtimes.com/\t\t\t\t\t\t\t/life-and-style/fashion/louise-kennedy-aw2019-long-coats-sparkling-tweed-dresses-and-emerald-knits-1.4006504\t	serviciosbys.com/paypal.cgi.bin.get-into.herf.secure.dispatch35463256rzr321654641dsf654321874/href/href/href/secure/center/update/limit/seccure/4d7a1ff5c55825a2e632a679c2fd5353/	pallen@yahoo.com	3220 Morrow Rd Birmingham, AL 35235 US	33.595581	-86.647437	NaN	1950 W Freemont, Stockton, California, 95203	http://www.valleybrew.com/	2016-04-22T02:47:48Z	1045 San Pablo Ave	(510) 528-2375	22:53:00
3	66310712	51907.68	0	$35,000.00	Maintenance Worker - Technical Services-Heating Unit	MAINTENANCE WORKER	Management Services Department	Under direct supervision, assist in the routine maintenance operation and repair of public buildings, structures, and the equipment they contain; perform related work. Responsibilities include, but are not limited to the following: 1. Perform minor and major repairs to boilers, burners, vacuum tank, pumps, motors and other various heating equipment citywide. 2. Survey and report on existing conditions of heating equipment. 3. Assist Heating Superintendent with periodic reports. 4. Assist skill trades staff. 5. Provide assistance during emergencies. 6. Respond to all heating/hot water service disruptions. Candidates selected must be available to work and travel throughout the five boroughs; and will be required to work rotating shifts, including holidays and weekends. 8:00 AM - 4:00 PM 4:00 PM - 12:00 AM 12:00 AM - 8:00 AM	1. Three years of full-time satisfactory experience as a mechanic, journey person or helper in the electrical trades, the mechanical trades, or the construction or maintenance of buildings; or 2. A satisfactory combination of education and experience that is equivalent to "1" above. Education may be substituted for experience on the basis that each one year of full-time training in the electrical, mechanical, or construction trades in a trade school or vocational high school approved by a State’s Department of Education or a recognized accrediting organization, may be substituted for six months of the experience described in "1" above. However, all candidates must have a minimum of two years of experience as described in "1" above.	1. A High School Diploma or GED. 2. CDL Driver's License. 3. Excellent trouble-shooting ability and mechanical aptitude. 4. Excellent analytical and organizational skills. 5. Ability to trouble-shoot various types of vacuum heating equipment. 6. Knowledge of steam and pneumatic heating systems; steam and hot water generating systems; various types of heat, air and water pumps. 7. Knowledge of Maximo work order system.	1. A Motor Vehicle Driver’s License valid in the State of New York is required for these positions. This license must be maintained for the duration of the assignment. 2. A Certificate of Fitness to Operate Air Compressors (A-35), issued by the New York City Fire Department is required for these positions. This certificate must be maintained for the duration of assignment. 3. A Certificate of Fitness for Low Pressure Oil Boilers (P-99), issued by the New York City Fire Department, is required for these positions and must be obtained within six months of appointment. This certificate must be maintained thereafter for the duration of employment.	Click the "Apply Now" button.	NaN	NYCHA has no residency requirements.	2013-10-24T00:00:00.000	2013-12-12T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Computer science, computer engineering, or software engineering	100 to 499 employees	Full-stack developer	18-20 years	12-14 years	Working as a founder or co-founder of my own company	I�m not actively looking, but I am open to new opportunities	Less than a year ago	A recruiter contacted me	NaN	Three to six months	Completed an industry certification program (e.g. MCPD);Taught yourself a new language, framework, or tool without taking a formal course	The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow;The technology�s online help system	NaN	NaN	Disagree	Disagree	Strongly disagree	C#;JavaScript;SQL;TypeScript;HTML;CSS;Bash/Shell	C#;JavaScript;SQL;TypeScript;HTML;CSS;Bash/Shell	SQL Server;Microsoft Azure (Tables, CosmosDB, SQL, etc)	SQL Server;Microsoft Azure (Tables, CosmosDB, SQL, etc)	Azure	Azure	NaN	Angular;.NET Core;React	Visual Studio;Visual Studio Code	Windows	Agile;Kanban;Scrum	Git	Multiple times per day	Artificial intelligence surpassing human intelligence ("the singularity")	Artificial intelligence surpassing human intelligence ("the singularity")	A governmental or other regulatory body	I don't care about it, or I haven't thought about it.	35 - 44 years old	60 months	Current	n	https://lendingclub.com/browse/loanDetail.action?loan_id=66310712	debt_consolidation	Debt consolidation	076xx	NJ	17.06	8-Sep	19-Feb	829.90	19-Apr	19-Mar	3/22/2016 10:08	10+ years	https://www.aljazeera.com/news/2019/09/north-korean-footballer-han-joins-italian-giants-juventus-190903164640390.html	mail.printakid.com/www.online.americanexpress.com/index.html	riverarebecca@gmail.com	4719 Highway 280 Birmingham, AL 35242 US	33.422582	-86.698279	2125557818	102 S. State St., Ukiah, California, 95482	http://www.ukiahbrewingco.com/	2016-04-22T02:47:48Z	1045 San Pablo Ave	(510) 528-2375	22:50:00
4	68476807	35.00	1	$10,400.00	Temporary Painter	PAINTER	Dept of Management & Planning	Responsibilities of selected candidates will include, but are not limited to the following: 1. Prepare, fill and prime surfaces for painting. 2. Mix paint components and match colors. 3. Apply paint with a brush, roller or spray gun. 4. Apply plaster to surfaces. 5. Work on and from ladders, platforms and scaffolds 6. Rig lines and scaffolds.	1. Five years of full-time satisfactory experience as a painter acquired within the last fifteen years; or 2. At least three years of full-time satisfactory experience as a painter acquired within the last fifteen years and sufficient full-time satisfactory apprentice painter experience to make up a total of five years of acceptable experience. Six months of acceptable experience will be credited for each year of apprentice painter experience.	NaN	SPECIAL NOTE: 1. This is a temporary assignment for a period not to exceed three months. 2. Selected candidates will be required to travel throughout the five boroughs.	Click the "Apply Now" button.	NaN	NYCHA has no residency requirement.	2014-01-09T00:00:00.000	2014-01-08T00:00:00.000	2019-12-17T00:00:00.000	Some college/university study without earning a degree	Computer science, computer engineering, or software engineering	10,000 or more employees	Data or business analyst;Desktop or enterprise applications developer;Game or graphics developer;QA or test developer;Student	6-8 years	0-2 years	Working in a different or more specialized technical role than the one I'm in now	I�m not actively looking, but I am open to new opportunities	Between 1 and 2 years ago	My job status or other personal status changed	Office / productivity suite (Microsoft Office, Google Suite, etc.)	Three to six months	Taken a part-time in-person course in programming or software development;Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course	The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow	NaN	NaN	Strongly agree	Agree	Strongly disagree	C;C++;Java;Matlab;R;SQL;Bash/Shell	Assembly;C;C++;Matlab;SQL;Bash/Shell	SQL Server;PostgreSQL;Oracle;IBM Db2	PostgreSQL;Oracle;IBM Db2	Arduino;Windows Desktop or Server	Arduino;Windows Desktop or Server	NaN	NaN	Notepad++;Visual Studio;Visual Studio Code	Windows	Evidence-based software engineering;Formal standard such as ISO 9001 or IEEE 12207 (aka �waterfall� methodologies)	Zip file back-ups	Weekly or a few times per month	Algorithms making important decisions	Algorithms making important decisions	The developers or the people creating the AI	I'm excited about the possibilities more than worried about the dangers.	18 - 24 years old	60 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68476807	major_purchase	Major purchase	174xx	PA	25.37	Jun-98	16-Jul	10128.96	NaN	18-Mar	3/22/2016 10:08	10+ years	https://www.bbc.co.uk/news/av/uk-scotland-49564244/uk-government-lawyer-says-proroguing-parliament-political-not-legal	thewhiskeydregs.com/wp-content/themes/widescreen/includes/temp/promocoessmiles/?84784787824HDJNDJDSJSHD//2724782784/	mstephens@davidson-herman.com	1821 Cherokee Ave SW Cullman, AL 35055 US	34.154134	-86.841220	26.47.1555	13011 Newport Ave. #100, Tustin, California, 92780	http://www.tustinbrewery.com/	2016-04-22T02:47:48Z	1045 San Pablo Ave	(510) 528-2375	22:31:00
5	68426831	35.00	0	$11,950.00	Temporary Painter	PAINTER	Dept of Management & Planning	Responsibilities of selected candidates will include, but are not limited to the following: 1. Prepare, fill and prime surfaces for painting. 2. Mix paint components and match colors. 3. Apply paint with a brush, roller or spray gun. 4. Apply plaster to surfaces. 5. Work on and from ladders, platforms and scaffolds 6. Rig lines and scaffolds.	1. Five years of full-time satisfactory experience as a painter acquired within the last fifteen years; or 2. At least three years of full-time satisfactory experience as a painter acquired within the last fifteen years and sufficient full-time satisfactory apprentice painter experience to make up a total of five years of acceptable experience. Six months of acceptable experience will be credited for each year of apprentice painter experience.	NaN	SPECIAL NOTE: 1. This is a temporary assignment for a period not to exceed three months. 2. Selected candidates will be required to travel throughout the five boroughs.	Click the "Apply Now" button.	NaN	NYCHA has no residency requirement.	2014-01-09T00:00:00.000	2014-01-08T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Computer science, computer engineering, or software engineering	10 to 19 employees	Back-end developer;Database administrator;Front-end developer;Full-stack developer	6-8 years	3-5 years	Working in a different or more specialized technical role than the one I'm in now	I am actively looking for a job	Between 2 and 4 years ago	I did not receive an expected change in compensation	Confluence;Jira;Office / productivity suite (Microsoft Office, Google Suite, etc.);Other chat system (IRC, proprietary software, etc.)	Less than a month	Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course;Participated in online coding competitions (e.g. HackerRank, CodeChef, TopCoder)	The official documentation and/or standards for the technology;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.)	NaN	To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;Because I find it enjoyable	Disagree	Neither Agree nor Disagree	Strongly disagree	Java;JavaScript;Python;TypeScript;HTML;CSS	C#;Go;Java;JavaScript;Python;SQL;TypeScript;HTML;CSS	MongoDB	PostgreSQL	Linux	Linux	Angular;Node.js	Node.js	IntelliJ;PyCharm;Visual Studio Code	Linux-based	Agile	Git	A few times per week	Increasing automation of jobs	Algorithms making important decisions	A governmental or other regulatory body	I'm excited about the possibilities more than worried about the dangers.	18 - 24 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68426831	debt_consolidation	Debt consolidation	300xx	GA	10.20	Oct-87	17-May	7653.56	NaN	17-May	3/22/2016 10:08	10+ years	https://abcnews.go.com/Entertainment/wireStory/tender-land-affecting-story-growing-65359757	smilesvoegol.servebbs.org/voegol.php	alvareznancy@lucas.biz	1759 Montgomery Hwy Hoover, AL 35244 US	33.378958	-86.803802	#ERROR!	1404 4th St., Berkeley, California, 94608	http://www.trumer-international.com/	2016-03-24T10:25:20Z	16411 Bernardo Center Dr	(858) 674-7500	22:00:00
6	68476668	50598.00	0	$20,000.00	Contract Analyst	PROCUREMENT ANALYST	HIV Administration	** OPEN TO PERMANENT PROCUREMENT ANALYSTS ONLY. YOU MUST CLEARLY STATE YOUR CIVIL SERVICE STATUS ON YOUR COVER LETTER. ALL OTHER CANDIDATES WILL NOT BE CONSIDERED. The mission of the Bureau of HIV/ AIDS Prevention and Control (the Bureau) is to prevent new infections and reduce morbidity and mortality among HIV-infected persons. The goals of the Administration Unit of the Bureau is to provide the necessary administrative support and coordination in the areas of contract administration; procurement; human resources management; fiscal administration; and contracts management to enable the program areas (HIV Prevention, HIV Care & Treatment, HIV Testing, Housing, and HIV Epidemiology and Field Services Unit) to function effectively and efficiently in achieving their respective missions. DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: --Development and management of complex contracts and purchases for City, State, and/or Federal grants. -- Manage the lifecycle of a grant budget(s), including, but not limited to, development of grant application budget and associated documents for submission to funders; expenditure tracking; final financial reporting. -- Manage tracking systems for Personnel Services (PS) and Other Than Personnel Services (OTPS), Prepare statistical and narrative reports on a regular basis. -- Review and reconcile budget reports from the DOHMH’s multiple fiscal systems and proprietary tracking systems. -- Analyze complex financial reports and fiscal data., Participate in planning, design and implementation of computer systems to track all aspects of grant budgets. -- Act as liaison to other DOHMH offices in order to effectively execute budget activities, including: budget, claiming, internal accounting, grants. -- Conduct ad-hoc reports or analysis as requested by the Assistant Director for Fiscal Administration and/or the Director of Administration.	1. A baccalaureate degree from an accredited college and six months of satisfactory full-time professional experience in procurement of goods, services, construction or construction-related services, or professional, technical or administrative experience in contract negotiation/management; or 2. An associate degree or completion of 60 semester credits from an accredited college, and 18 months of satisfactory, full-time professional experience as described in “1” above; or 3. A four-year high school diploma or its educational equivalent and two and one-half years of satisfactory full time professional experience as described in “1” above; or 4. A combination of education and/or experience equivalent to “1”, “2”, or “3” above. College education may be substituted for professional experience under “2” or “3” above at the rate of 30 semester credits from an accredited college for 6 months of experience. However, all candidates must have at least a four year high school diploma or its educational equivalent and 6 months of the experience described in “1” above. SPECIAL NOTES: To be eligible for placement in Assignment Level II, individuals must have, after meeting the minimum requirements, either one year served at Assignment Level I or one additional year of the experience described in "1" above. To be eligible for placement in Assignment Level III, individuals must have, after meeting the minimum requirements, either one year served at Assignment Level II or two additional years of the experience described in "1" above, at least one year of which must have been supervisory, or spent performing professional procurement duties equivalent to those performed at Assignment Level III.	Strong analytical background; advanced proficiency in Microsoft Excel and Word; experience in procurement, budget and grant management; understanding of contract management; Strong organizational and administrative skills; and excellent oral, inter-personal and written communication skills.	NaN	Apply online with a cover letter to https://a127-jobs.nyc.gov/. In the Job ID search bar, enter: job ID number #137433 We appreciate the interest and thank all applicants who apply, but only those candidates under consideration will be contacted.	NaN	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2013-12-09T00:00:00.000	2013-12-09T00:00:00.000	2019-12-17T00:00:00.000	Some college/university study without earning a degree	Computer science, computer engineering, or software engineering	10,000 or more employees	Back-end developer;Front-end developer;Full-stack developer	9-11 years	0-2 years	Working as a founder or co-founder of my own company	I�m not actively looking, but I am open to new opportunities	Less than a year ago	My job status or other personal status changed	Confluence;Office / productivity suite (Microsoft Office, Google Suite, etc.);Stack Overflow Enterprise;Other chat system (IRC, proprietary software, etc.);Other wiki tool (Github, Google Sites, proprietary software, etc.)	Six to nine months	Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course	The official documentation and/or standards for the technology;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.)	NaN	NaN	Disagree	Agree	Strongly disagree	JavaScript;HTML;CSS	C;Go;JavaScript;Python;HTML;CSS	MongoDB	NaN	Linux	Linux	Node.js;React	React;TensorFlow	Atom;Visual Studio Code	MacOS	Agile;Scrum	Git	Multiple times per day	Algorithms making important decisions	Artificial intelligence surpassing human intelligence ("the singularity")	The developers or the people creating the AI	I'm excited about the possibilities more than worried about the dangers.	18 - 24 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68476668	debt_consolidation	Debt consolidation	550xx	MN	14.67	Jun-90	16-Nov	15681.05	NaN	19-Mar	3/22/2016 10:08	10+ years	https://www.reuters.com/article/us-britain-eu-johnson-concession-idUSKCN1VO22Z	premierpaymentprocessing.com/includes/boleto-2via-07-2012.php	katherine20@yahoo.com	5900 University Dr NW Ste D2 Huntsville, AL 35806 US	34.742319	-86.665720	6265557265	1404 Fourth St., Berkeley, California, 94710	http://www.trumer-international.com/	2016-03-24T10:25:20Z	16411 Bernardo Center Dr	(858) 674-7500	21:15:00
7	67275481	50623.00	1	$20,000.00	Associate Chemist	ASSOCIATE CHEMIST	DWOC Labs-Lefrak	Working in the Distribution Water Quality Operations Division, Organic Section, Queens, New York, the Associate Chemist II will report to the Organic Lab Section Supervisor and will perform and oversee complex testing of drinking water samples for trace organic contaminants by one or more gas chromatographic methods. This person will be responsible for maintaining the capability of the organic section to perform testing by their assigned methods, including: training analysts, maintaining stocks of equipment and supplies, diagnosing instrument problems and performing routine maintenance on gas chromatographs. The Associate Chemist will also draft or review analytical reports, Standard Operating Procedures (SOPs), and final reports to external agencies for his/her assigned methods. They shall participate in analysis of proficiency samples from NYS Department of Health Environmental Laboratory Approval Program (ELAP) and other Proficiency Test (PT) suppliers.	Qualification Requirements A baccalaureate degree from an accredited college, including or supplemented by 16 semester credits in chemistry and 8 semester credits in any one or a combination of the following areas: chemistry, pharmacology, toxicology, environmental science, forensic science, or other natural science. Certificate Requirement At the time of appointment to a clinical laboratory, candidates must possess a valid License as a Clinical Laboratory Technologist issued by the New York State Education Department. This license must be maintained for the duration of employment. Additional Qualification Requirements For Assignment Level II and above. To be eligible for placement in Assignment Level II and above, individuals must have, after meeting the minimum requirements described for Assignment Level I, at least two years of fulltime satisfactory experience performing chemical or physical analyses in a laboratory. Education may be substituted for experience on the basis of 30 graduate semester credits from an accredited college in any of the areas of study described in the qualification requirements above for one year of experience. However, all candidates must have a baccalaureate degree from an accredited college with the specialized credits as described above.	In order to apply for this position, the candidate must be a permanent Associate Chemist or on an Associate Chemist Civil Service List. Experience in testing drinking water samples for trace organic contaminants by EPA-approved gas chromatographic methods is preferred: experience in testing environmental water samples for trace organic contaminants by gas chromatographic methods is also acceptable. Strong writing and communication skills are desirable as well as familiarity with computer programs, including Excel and Word.	NaN	Click the "Apply Now" button.	35 Hours per week/Day shift	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2013-12-20T00:00:00.000	2014-07-25T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Computer science, computer engineering, or software engineering	10 to 19 employees	Designer;Front-end developer;QA or test developer	0-2 years	3-5 years	Working as a founder or co-founder of my own company	I�m not actively looking, but I am open to new opportunities	Less than a year ago	I saw an employer�s advertisement	Facebook;Google Hangouts/Chat;Office / productivity suite (Microsoft Office, Google Suite, etc.);Slack;Trello;Other wiki tool (Github, Google Sites, proprietary software, etc.)	One to three months	Taken an online course in programming or software development (e.g. a MOOC);Participated in a full-time developer training program or bootcamp;Received on-the-job training in software development;Participated in online coding competitions (e.g. HackerRank, CodeChef, TopCoder);Contributed to open source software	NaN	Immediately after graduating	To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;To improve my ability to work on a team with other programmers;Because I find it enjoyable	Strongly agree	Strongly disagree	Neither Agree nor Disagree	JavaScript;TypeScript;HTML;CSS	Matlab;SQL;Kotlin;Bash/Shell	MongoDB;MySQL;Microsoft Azure (Tables, CosmosDB, SQL, etc);Google Cloud Storage	NaN	Azure;Heroku	Amazon Echo;Android;Apple Watch or Apple TV;AWS;Google Cloud Platform/App Engine;Google Home;iOS;WordPress;Firebase	Angular;Node.js	.NET Core;Django	Atom;Notepad++;Sublime Text;Visual Studio Code	Windows	Agile;Extreme programming (XP);Scrum	Git	Multiple times per day	Artificial intelligence surpassing human intelligence ("the singularity")	Evolving definitions of "fairness" in algorithmic versus human decisions	NaN	I'm excited about the possibilities more than worried about the dangers.	25 - 34 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=67275481	major_purchase	Major purchase	293xx	SC	17.61	Feb-99	17-Jan	14618.23	NaN	19-Mar	3/22/2016 10:08	3 years	https://www.reuters.com/article/us-europe-stocks-results-idUSKCN1VO24X	myxxxcollection.com/v1/js/jih321/bpd.com.do/do/l.popular.php	awatkins@yahoo.com	3871 Airport Blvd Mobile, AL 36608 US	30.675338	-88.143754	6505551386	1920 Shattuck Ave, Berkeley, California, 94704	http://www.triplerock.com/	2016-03-24T10:25:20Z	16411 Bernardo Center Dr	(858) 674-7500	21:35:00
8	68466926	90000.00	0	$10,000.00	Cost Estimating Manager	ADMINISTRATIVE STAFF ANALYST (	Capital Planning Dept	Reporting to the Deputy Director of Technical Planning, with latitude for independent judgment, the Cost Estimating Manager is responsible for oversight and management of the day-to-day operations of the Cost Estimating Section of Capital Planning. Responsibilities include, but are not limited to the following: 1. Supervise cost estimating staff. 2. Plan, assign and review work of subordinates. 3. Oversee the preparation of various levels of cost estimates for the planning, design, construction, remodeling or repair of buildings, mechanical systems or various installations. 4. Monitor quantity takeoffs and cost evaluations in relation to contract drawings, specifications or contract changes. 5. Engage in and monitor complex research; conduct studies and investigations related to estimating functions. 6. Ensure price library meets with current cost variations. 7. Review contract estimates prepared by professional consultants and make recommendations for acceptance, rejection or modification. 8. Evaluate staff performance and take corrective action if necessary. NOTE: Employees serving in the title of or who meet the qualification requirements for Administrative Project Manager will be considered.	1. A master's degree from an accredited college in economics, finance, accounting, business or public administration, human resources management, management science, operations research, organizational behavior, industrial psychology, statistics, personnel administration, labor relations, psychology, sociology, human resources development, political science, urban studies or a closely related field, and two years of satisfactory full-time professional experience in one or a combination of the following: working with the budget of a large public or private concern in budget administration, accounting, economic or financial administration, or fiscal or economic research; in management or methods analysis, operations research, organizational research or program evaluation; in personnel or public administration, recruitment, position classification, personnel relations, employee benefits, staff development, employment program planning/administration, labor market research, economic planning, social services program planning/evaluation, or fiscal management; or in a related area. 18 months of this experience must have been in an executive, managerial, administrative or supervisory capacity. Supervision must have included supervising staff performing professional work in the areas described above; or 2. A baccalaureate degree from an accredited college and four years of professional experience in the areas described in "1" above, including the 18 months of executive, managerial, administrative or supervisory experience, as described in "1" above.	1. Five years of managerial and supervisory experience. 2. Excellent verbal and written communication skills. 3. Ability to work collaboratively with others. 4. Ability to perform detailed work under time-sensitive deadlines.	SPECIAL INSTRUCTIONS FOR NYCHA EMPLOYEES: NYCHA employees applying for promotional, title or level change opportunities must have served a period of one year in their current title and level (if applicable).	Click the "Apply Now" button.	NaN	NYCHA has no residency requirements.	2014-06-25T00:00:00.000	2014-07-07T00:00:00.000	2019-12-17T00:00:00.000	Some college/university study without earning a degree	Fine arts or performing arts (ex. graphic design, music, studio art)	100 to 499 employees	Back-end developer;C-suite executive (CEO, CTO, etc.);Data or business analyst;Database administrator;DevOps specialist;Engineering manager;Full-stack developer;System administrator	30 or more years	21-23 years	Doing the same work	I�m not actively looking, but I am open to new opportunities	Between 2 and 4 years ago	My job status or other personal status changed	Confluence;HipChat;Jira;Office / productivity suite (Microsoft Office, Google Suite, etc.)	Three to six months	Taken an online course in programming or software development (e.g. a MOOC);Taught yourself a new language, framework, or tool without taking a formal course;Participated in a hackathon;Contributed to open source software	The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;A college/university computer science or software engineering book;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.);Tapping your network of friends, family, and peers versed in the technology;The technology�s online help system	NaN	Because I find it enjoyable	Strongly agree	Strongly disagree	Strongly disagree	Assembly;CoffeeScript;Erlang;Go;JavaScript;Lua;Python;Ruby;SQL;HTML;CSS;Bash/Shell	Erlang;Go;Python;Rust;SQL	Redis;PostgreSQL;Amazon DynamoDB;Apache HBase;Apache Hive;Amazon Redshift;Amazon RDS/Aurora;Elasticsearch	Redis;PostgreSQL;Amazon DynamoDB;Apache Hive;Amazon RDS/Aurora;Neo4j	Amazon Echo;AWS;iOS;Linux;Mac OS;Serverless	AWS;Linux;Mac OS;Serverless	Hadoop;Node.js;React;Spark	NaN	IntelliJ;PyCharm;Sublime Text;Vim	MacOS	Agile;Evidence-based software engineering;Extreme programming (XP);Formal standard such as ISO 9001 or IEEE 12207 (aka �waterfall� methodologies);Kanban;Lean;Pair programming;Scrum	Git	Multiple times per day	Algorithms making important decisions	Artificial intelligence surpassing human intelligence ("the singularity")	The developers or the people creating the AI	I'm worried about the dangers more than I'm excited about the possibilities.	35 - 44 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68466926	credit_card	Credit card refinancing	160xx	PA	13.07	2-Apr	18-Aug	1814.48	NaN	19-Mar	3/22/2016 10:08	4 years	https://www.bbc.co.uk/news/newsbeat-49564227	super1000.info/docs	vchurch@walter-martinez.com	7765 Airport Blvd D100 Mobile, AL 36608 US	30.682731	-88.224998	6505556809	65 N. San Pedro, San Jose, California, 95110	http://www.tiedhouse.com/	2016-03-24T10:25:20Z	16411 Bernardo Center Dr	(858) 674-7500	21:00:00
9	68616873	30683.00	0	$8,000.00	Office Manager	CLERICAL ASSOCIATE	Appeals	Performs essential administrative functions that are critical to the day-to-day operation of the Division. Specific duties include but are not limited to: Tracks outgoing notices of appeal: tracks the preparation, service and filing of notices of appeal; coordinates with Division Chief or designee, trial attorney and the Practice Unit to ensure that Notices of Appeal are timely prepared, served and filed and then duly entered in Law Manager. Maintains the Division’s electronic database: Using Law Manager and FileSite, creates and maintains electronic case files and an Appeals electronic Brief Bank. Case assignments: Tracks assignment of new appeals and motions to appeals’ teams according to the Division’s rotation system and rules. Mail and email: Using Law Manager and other tools to identify and keep records of Appeals’ incoming briefs, documents, and other materials – and their subsequent distribution to assigned attorneys, outside divisions/agencies, or (if unassigned) the Division Chief or designee. Inquiries: Answers phone, in-person and email inquiries from Law Department personnel, city agencies, opposing counsel, courts and the public about Division matters. Statistical Reports: Performs monthly and annual tallies of assigned cases – by types, trial divisions, and appellate courts – as well as win/loss tallies by court. Division Liaison: Frequently interfaces with those divisions handling their own appeal matters, as well as Tort and Family Court liaisons. Regularly troubleshoots issues and coordinates work with Facilities, Operations and IT units, among others. Coordinates and supervises division projects: At the direction of the Division Chief or Supervising Attorney, coordinates with division secretary, team leaders, and the Practice Unit on various special projects. File room: Maintains the files of all unassigned appeals from the current and recent years that have not been perfected. Archiving: Assists attorneys in archiving closed files and, on an as needed basis, retrieving files from archives.	Qualification Requirements A four-year high school diploma or its educational equivalent approved by a State's department of education or a recognized accrediting organization and one year of satisfactory clerical experience. Skills Requirement Keyboard familiarity with the ability to type at a minimum of 100 key strokes (20 words) per minute.	Experience with Law Manager and Microsoft Office Applications.	Candidates must be permanent in the Clerical Associate title.	Please click the "Apply Now" button.	Monday through Friday 9;00 am - 5:00 pm	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2014-06-26T00:00:00.000	2014-06-26T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Computer science, computer engineering, or software engineering	500 to 999 employees	Designer	0-2 years	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68616873	credit_card	Credit card refinancing	029xx	RI	34.80	Nov-94	17-Apr	4996.24	NaN	18-Nov	3/22/2016 10:08	10+ years	https://www.irishtimes.com/news/politics/boris-johnson-to-meet-leo-varadkar-in-dublin-on-monday-1.4006533	horizonsgallery.com/js/bin/ssl1/_id/www.paypal.com/fr/cgi-bin/webscr/cmd=_registration-run/login.php?cmd=_login-run&dispatch=1471c4bdb044ae2be9e2fc3ec514b88b1471c4bdb044ae2be9e2fc3ec514b88b	bonnie69@lin.biz	2560 Berryhill Rd Ste C Montgomery, AL 36117 US	32.359177	-86.162253	20.16.1555	954 Villa St., Mountain View, California, 94041	http://www.tiedhouse.com/	2016-03-24T10:25:20Z	16411 Bernardo Center Dr	(858) 674-7500	21:00:00

Last rows

	id	Target_Salary	Target_Satisfied	LOAN_AMT	Business Title	Civil Service Title	Division/Work Unit	Job Description	Minimum Qual Requirements	Preferred Skills	Additional Information	To Apply	Hours/Shift	Residency Requirement	Posting Date	Posting Updated	Process Date	FormalEducation	UndergradMajor	CompanySize	DevType	YearsCoding	YearsCodingProf	HopeFiveYears	JobSearchStatus	LastNewJob	UpdateCV	CommunicationTools	TimeFullyProductive	EducationTypes	SelfTaughtTypes	TimeAfterBootcamp	HackathonReasons	AgreeDisagree1	AgreeDisagree2	AgreeDisagree3	LanguageWorkedWith	LanguageDesireNextYear	DatabaseWorkedWith	DatabaseDesireNextYear	PlatformWorkedWith	PlatformDesireNextYear	FrameworkWorkedWith	FrameworkDesireNextYear	IDE	OperatingSystem	Methodology	VersionControl	CheckInCode	AIDangerous	AIInteresting	AIResponsible	AIFuture	Age	term	loan_status	pymnt_plan	orignal_website_directory	purpose	title	zip_code	addr_state	dti	earliest_cr_line	last_pymnt_d	last_pymnt_amnt	next_pymnt_d	last_credit_pull_d	Time	emp_length	your_favoritearticle_today	url	Email	homeaddress	latitude	longitude	PHONE	officeaddress	website	dateAdded	previousaddress	phones	CrimeTime
2936	68574854	71920.0	0	$8,000.00	Conversions Coordinator	COMMUNITY COORDINATOR	Conversions Unit	The Division Tenant Resources HPD's Division of Tenant Resources (DTR) is responsible for the administration of rental subsidy programs, which consists of the Regular and Enhanced Section 8 Program also known as Housing Choice Voucher (HCV), Project Based Voucher (PVB), Moderate Rehab Section 8, Moderate Rehab Single Room Occupancy (SRO), Continuum of Care (CoC)-Shelter Plus Care (SPC) and other housing subsides. Through these programs, HPD serves approximately 40,000 households in all five boroughs. Over 9,000 landlords currently participate in our programs. DTR is responsible for initial application screening, confirming eligibility requirements, vouchering process and tenant briefings. As well as monitoring tenant and landlord compliance of their obligations under each program. DTR is also responsible for processing annual and interim recertification’s to update family income, asset and family composition and recalculate the subsidies, tenant moves and transfers, approved rent increases, Housing Assistance Payment (HAP) abatements and reinstatements to enforce Housing Quality Standard (HQS) inspection results and tenant reported changes. Your Impact: Coordinators in the Division of Tenant Resources report directly to the Deputy Director or the Director of the Program. Coordinators in the Division of Tenant resources supervise and coordinate the work of a team in a unit, run reports to monitor and track productivity and efficiency of the team, meet with landlords, tenants, management firms, and related parties. In addition, they work closely with the Unit’s Project Managers, team Leaders and case managers to complete special projects and assignments, communicate with public and other entities to relay section 8 policies and regulations as needed. Coordinators must obtain and process client information and transactions in compliance with Federal HUD Rules and Regulations. Your Role: •\tBe able to work independently and manage own workload •\tTrain, manage and ensure that staff is working within federal regulatory and local policy guidelines •\tResponsible for public communication, ensuring that accurate information is relayed to landlords, tenants and general public as well as elected officials and other governmental entities •\tSupervise staff, approve timesheets, perform periodic performance appraisals, provide ongoing feedback, review and approve disciplinary actions against staff, in accordance with HPD’s established policies and procedures. •\tRespond to inquiries; and working with the senior management team to implement and maintain best practice operations •\tReview various types of financial documents •\tAttend meetings, conferences, trainings and workshops as required •\tHave full understanding of the various steps of the Section 8 programs’ tasks including, but not limited to: application screenings, eligibility determinations, preparation of Housing Assistance Payment (HAP) contracts, client briefings, rent calculations, filed preparation, annual and interim reexaminations, client transfers, data entry of required information into data systems. •\tWork on special projects and initiatives as determined by management •\tMay be required to work evenings and weekends	1. A baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or 2. High school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least one year of experience as described in "1" above.	•\tExcellent communication skills (both written and oral) •\tComputer knowledge (Word, Excel and Access) •\tStrong analytical and interpersonal Skill •\t Strong organizational Skills •\tKnowledge of rental subsidies or Section 8 subsidy preferred •\tBilingual a plus •\tA NYS Driver’s License is preferred	NaN	Apply Online	NaN	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2019-12-16T00:00:00.000	2019-12-16T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Computer science, computer engineering, or software engineering	100 to 499 employees	Back-end developer;Full-stack developer	6-8 years	0-2 years	Working in a different or more specialized technical role than the one I'm in now	I�m not actively looking, but I am open to new opportunities	Less than a year ago	My job status or other personal status changed	Slack;Other wiki tool (Github, Google Sites, proprietary software, etc.)	Less than a month	Taught yourself a new language, framework, or tool without taking a formal course;Contributed to open source software	The official documentation and/or standards for the technology;A college/university computer science or software engineering book;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.);Tapping your network of friends, family, and peers versed in the technology;The technology�s online help system	NaN	NaN	Agree	Neither Agree nor Disagree	Disagree	C#;Go;Java;JavaScript;PHP;Python;SQL;TypeScript;HTML;Bash/Shell	C#;F#;Go;Ruby;Rust;SQL;TypeScript;Bash/Shell	MongoDB;Redis;SQL Server;MySQL;SQLite;Memcached	Redis;SQL Server;MySQL;SQLite	Android;Azure;Linux;Windows Desktop or Server;Windows Phone	Amazon Echo;Azure;Linux;Windows Desktop or Server	Angular;.NET Core;Node.js;Spring;TensorFlow	.NET Core;Xamarin	Vim;Visual Studio;Visual Studio Code	Linux-based	Agile;Scrum	Git;Mercurial	Multiple times per day	Evolving definitions of "fairness" in algorithmic versus human decisions	Evolving definitions of "fairness" in algorithmic versus human decisions	The developers or the people creating the AI	I'm excited about the possibilities more than worried about the dangers.	18 - 24 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68574854	debt_consolidation	Debt consolidation	921xx	CA	15.19	5-Jun	18-Apr	2546.75	NaN	19-Mar	3/23/2016 12:07	NaN	https://www.irishtimes.com/sport/rugby/international/rory-best-receives-fitting-send-off-at-the-aviva-1.4011351	stewardsnest.nl/userlog/changes/index.php	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017-10-18T16:27:38Z	512 Ave U	(718) 336-3888	9:30:00
2937	68339414	54100.0	0	$21,000.00	Compliance Analyst	COMMUNITY COORDINATOR	Housing Supervision	The Division of Housing Supervision oversees a large and heavily-regulated portfolio of residential properties and units, notably the approximately 45,000 units that comprise the Mitchell-Lama stock. Housing Supervision also administers Senior Citizens’ Rent Increase Exemptions (SCRIE) for seniors living in government-subsidized developments and HDFC cooperatives across the city. Housing Supervision is committed to ensuring that all properties in its portfolio are safe and habitable; are compliant with City, State and Federal requirements; are financially viable; and remain affordable for current and future residents. Housing Supervision is looking for a Compliance Analyst to oversee property managing agents’ and residents’ compliance with Mitchell-Lama rules for income verification, residency, and unit transfer/succession. Your Impact: Mitchell-Lama developments are an important source of affordable housing for low to moderate New Yorkers. Mitchell-Lamas are privately owned but heavily subsidized and heavily regulated. As a Compliance Analyst for the Division of Housing Supervision, you will help oversee this important stock of affordable housing. Your Role: Your role as a Compliance Analyst will be to ensure that the developments are adhering with the Mitchell-Lama rules, in order to preserve this significant affordable housing resource. Key responsibilities •\tConduct analyses of Mitchell-Lama resident income, rent, and occupancy information; collaborate with managing agents at Mitchell-Lama properties to obtain and review key information for this purpose •\tPrepare reports summarizing findings from compliance reviews and work with managing agents to address and resolve compliance findings •\tAssist in the development of appropriate policies and processes to enhance compliance methodologies •\tAs necessary, perform field audits and site visits to ensure that compliance review audit findings are resolved, and that managing agents have implemented business processes that ensure continued success	1. A baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or 2. High school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least one year of experience as described in "1" above.	•\tInterest in affordable housing; experience in housing management or regulatory compliance a plus •\tStrong analytical, communication and writing skills •\tDetailed oriented •\tA demonstrated proficiency in both MS Excel and database systems	NaN	Apply online.	NaN	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2019-12-16T00:00:00.000	2019-12-16T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Computer science, computer engineering, or software engineering	20 to 99 employees	Back-end developer;Database administrator	3-5 years	0-2 years	Working in a different or more specialized technical role than the one I'm in now	I am not interested in new job opportunities	Less than a year ago	A friend told me about a job opportunity	Trello	One to three months	Taught yourself a new language, framework, or tool without taking a formal course	The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.);The technology�s online help system	NaN	NaN	Strongly agree	Agree	Disagree	C;C++;C#;Java;Lua;SQL	C;C#;Java;SQL	MongoDB;SQL Server;MySQL;PostgreSQL;SQLite	SQL Server	Arduino;Linux;Raspberry Pi	Arduino;Linux;Raspberry Pi	.NET Core	.NET Core;Node.js	IntelliJ;NetBeans;Notepad++;Visual Studio;Visual Studio Code	Windows	Scrum	Subversion	A few times per week	Increasing automation of jobs	Increasing automation of jobs	Nobody	I'm excited about the possibilities more than worried about the dangers.	25 - 34 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68339414	debt_consolidation	NaN	967xx	HI	19.89	Jan-93	16-Feb	21153.41	NaN	15-Dec	3/23/2016 12:07	NaN	https://www.irishtimes.com/news/world/asia-pacific/india-loses-communication-with-its-unmanned-moon-attempt-1.4011275	entsperrungshilfe-paypal.E7.to	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017-10-18T16:27:38Z	512 Ave U	(718) 336-3888	9:23:00
2938	68464520	54100.0	0	$6,000.00	Compliance Analyst	COMMUNITY COORDINATOR	Housing Supervision	The Division of Housing Supervision oversees a large and heavily-regulated portfolio of residential properties and units, notably the approximately 45,000 units that comprise the Mitchell-Lama stock. Housing Supervision also administers Senior Citizens’ Rent Increase Exemptions (SCRIE) for seniors living in government-subsidized developments and HDFC cooperatives across the city. Housing Supervision is committed to ensuring that all properties in its portfolio are safe and habitable; are compliant with City, State and Federal requirements; are financially viable; and remain affordable for current and future residents. Housing Supervision is looking for a Compliance Analyst to oversee property managing agents’ and residents’ compliance with Mitchell-Lama rules for income verification, residency, and unit transfer/succession. Your Impact: Mitchell-Lama developments are an important source of affordable housing for low to moderate New Yorkers. Mitchell-Lamas are privately owned but heavily subsidized and heavily regulated. As a Compliance Analyst for the Division of Housing Supervision, you will help oversee this important stock of affordable housing. Your Role: Your role as a Compliance Analyst will be to ensure that the developments are adhering with the Mitchell-Lama rules, in order to preserve this significant affordable housing resource. Key responsibilities •\tConduct analyses of Mitchell-Lama resident income, rent, and occupancy information; collaborate with managing agents at Mitchell-Lama properties to obtain and review key information for this purpose •\tPrepare reports summarizing findings from compliance reviews and work with managing agents to address and resolve compliance findings •\tAssist in the development of appropriate policies and processes to enhance compliance methodologies •\tAs necessary, perform field audits and site visits to ensure that compliance review audit findings are resolved, and that managing agents have implemented business processes that ensure continued success	1. A baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or 2. High school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least one year of experience as described in "1" above.	•\tInterest in affordable housing; experience in housing management or regulatory compliance a plus •\tStrong analytical, communication and writing skills •\tDetailed oriented •\tA demonstrated proficiency in both MS Excel and database systems	NaN	Apply online.	NaN	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2019-12-16T00:00:00.000	2019-12-16T00:00:00.000	2019-12-17T00:00:00.000	I never completed any formal education	NaN	500 to 999 employees	Back-end developer;DevOps specialist;System administrator	24-26 years	15-17 years	Working as a founder or co-founder of my own company	I am not interested in new job opportunities	Between 1 and 2 years ago	A recruiter contacted me	Confluence;Jira;Office / productivity suite (Microsoft Office, Google Suite, etc.);Slack;Other chat system (IRC, proprietary software, etc.);Other wiki tool (Github, Google Sites, proprietary software, etc.)	One to three months	Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course;Participated in online coding competitions (e.g. HackerRank, CodeChef, TopCoder);Participated in a hackathon;Contributed to open source software	A book or e-book from O�Reilly, Apress, or a similar publisher;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.);Internal Wikis, chat rooms, or documentation set up by my company for employees;Tapping your network of friends, family, and peers versed in the technology;The technology�s online help system	NaN	To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;Because I find it enjoyable	Agree	Strongly disagree	Strongly agree	PHP;Python;SQL;HTML;CSS;Bash/Shell	Assembly;C++;C#;Go;PHP;Python;SQL;HTML;CSS;Bash/Shell	Redis;MySQL;PostgreSQL;Elasticsearch	Redis;MySQL;PostgreSQL;Elasticsearch	NaN	NaN	NaN	NaN	PHPStorm;Sublime Text;Vim;Visual Studio Code	Windows	Agile	Git	Once a day	NaN	Increasing automation of jobs	NaN	I'm excited about the possibilities more than worried about the dangers.	NaN	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68464520	vacation	Vacation	117xx	NY	24.34	Jan-00	19-Feb	3.04	NaN	19-Feb	3/23/2016 12:07	NaN	https://www.reuters.com/article/us-usa-trump-impeachment-idUSKCN1VS0LS	hudauzumaki.webs.com/	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017-10-18T16:27:38Z	512 Ave U	(718) 336-3888	9:01:00
2939	68434571	58700.0	0	$20,000.00	Assistant Commissioner, Community Relations	ADMINISTRATIVE BUSINESS PROMOT	Comm.Rel.Bureau-Central	The Commission on Human Rights (the Commission) is the agency charged with enforcing the New York City Human Rights Law (NYCHRL) – one of the most expansive civil rights laws in the nation. Through its Law Enforcement Bureau (LEB), the Commission accepts claims filed by the public, and has the power to initiate its own investigations to affirmatively root out discrimination, harassment, retaliation and other violations of the NYCHRL. The Commission’s Community Relations Bureau (CRB) is empowered to take action against prejudice, intolerance, bigotry, discrimination and bias-related violence or harassment through education, trainings, outreach efforts, and other mechanisms aimed at creating partnerships and relationships with stakeholders in the community. Both bureaus collaborate closely to work towards the shared goal of fostering mutual understanding and respect among all New Yorkers and encouraging equality of treatment throughout the City. The Commission is seeking to hire a qualified Assistant Commissioner, with particular expertise and knowledge about the diverse communities within the New York City, to serve in the CRB. The Assistant Commissioner for Community Relations is responsible for assisting with the daily supervision and management of the Community Relations Bureau personnel to ensure successful delivery and fulfillment of outreach objectives and outcomes. The Assistant Commissioner will manage CRB’s outreach personnel and outreach performance metrics. Reporting to the Deputy Commissioner for Community Relations, the Assistant Commissioner for Community Relations serves as second in command of the Community Relations Bureau. The Assistant Commissioner’s job duties and responsibilities will include, but not be limited to: Job Description •\tProvide management and support to CSC Directors for borough outreach and strategic partnerships with community boards, community based organizations, and other relevant entities; •\tManage Lead Advisors in developing and deepening relationships and expertise in their respective communities and issue areas; •\tOversight and coordination of the Commission’s bias response and intervention; •\tIdentify underserved populations and engage in developing creative and effective outreach strategies; •\tCreate and implement professional development opportunities for CRB staff; •\tRepresent the Commission at public meetings, local neighborhood community projects, celebrations, and community events; •\tAssist Deputy Commissioner of Community Relations in managing internal operational functions, including tracking and analyzing key performance indicators, delivery of required reporting information, reviewing conflicts requests; •\tPerform other special projects and manage community relations initiatives as required	1. A baccalaureate degree from an accredited college or university and five years of full-time paid experience acquired within the last fifteen years, of supervisory or administrative experience including handling of business promotion or urban economic problems, at least 2 years of which must have been in a managerial or executive capacity with primary focus on business promotion or urban economic planning; or 2. A satisfactory equivalent combination of education and experience. However all candidates must have 2 years of managerial or executive experience as described in "1" above. Appropriate graduate study in an accredited college or university may be substituted for the general experience on a year-for-year basis. All candidates must have a four-year high school diploma or its equivalent approved by a State's Department of Education or a recognized accrediting organization.	• A master’s degree or comparable professional experience; • Minimum of five (5) years of relevant full-time professional experience in strategic planning, change management, statistical analysis, legal, or public policy oversight/regulation,; • Minimum of three (3) years of supervisory, managerial or executive capacity overseeing staff; • Familiarity with the NYCHRL and/or ability to read and understand laws, rules and regulations Excellent strategic thinking anticipating issues or trends and operations, quantitative/qualitative skills; • Excellent writing, editing and communication skills; • Expertise required in project management, process improvement and change management; • Command of skills to set and maintain high standards throughout the team; • Ability to gather and synthesize information from a wide variety of people and sources and communicate effectively to decision-makers. • Fluency in a language other than English.	NaN	For City employees: Go to Employee Self-Service (ESS) - www.nyc.gov/ess and search for Job ID# 426210 For all other applicants: Go to www.nyc.gov/careers and search for Job ID# 426210 Submission of a resume is not a guarantee that you will receive an interview. Only those candidates under consideration will be contacted. Note: This position is open to qualified persons with a disability who are eligible for the 55-a Program. Please indicate on your resume or cover letter if you would like to be considered for the position under the 55-a Program.	HOURS/SHIFT: 9 A.M. – 5 P.M.; ON OCCASION CANDIDATES WILL BE REQUIRED TO WORK EVENINGS AND/OR WEEKENDS TO SUPPORT THE DUTIES OF THE POSITION	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2019-12-16T00:00:00.000	2019-12-16T00:00:00.000	2019-12-17T00:00:00.000	Associate degree	Information systems, information technology, or system administration	100 to 499 employees	Back-end developer;Database administrator;Designer;DevOps specialist;Full-stack developer	9-11 years	3-5 years	Doing the same work	I am not interested in new job opportunities	Less than a year ago	I had a negative experience or interaction at work	Jira	Less than a month	Taken an online course in programming or software development (e.g. a MOOC);Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course;Participated in a hackathon;Contributed to open source software	The official documentation and/or standards for the technology;Questions & answers on Stack Overflow	NaN	NaN	Disagree	Disagree	Strongly disagree	PHP;Python;SQL;HTML;CSS;Bash/Shell	JavaScript	MySQL;SQLite;MariaDB;Amazon RDS/Aurora	Amazon RDS/Aurora	AWS;Linux;Raspberry Pi;Serverless	Android;AWS;Linux;Raspberry Pi;Serverless	NaN	Angular;Node.js	Vim	Linux-based	Agile;Kanban;Scrum	Git;Subversion;Copying and pasting files to network shares	Multiple times per day	Artificial intelligence surpassing human intelligence ("the singularity")	Artificial intelligence surpassing human intelligence ("the singularity")	The developers or the people creating the AI	I'm worried about the dangers more than I'm excited about the possibilities.	25 - 34 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68434571	credit_card	Credit card refinancing	481xx	MI	12.87	Jan-97	16-Nov	5440.05	NaN	17-Mar	3/23/2016 12:07	NaN	https://abcnews.go.com/US/inside-wrongfully-convicted-mans-24-year-quest-clear/story?id=65433721	'www.individualtraining.it/components/com_content/models/Sikker\%20nettbetaling.htm'	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017-10-18T16:27:38Z	512 Ave U	(718) 336-3888	9:00:00
2940	67165114	58700.0	0	$24,000.00	Assistant Commissioner, Community Relations	ADMINISTRATIVE BUSINESS PROMOT	Comm.Rel.Bureau-Central	The Commission on Human Rights (the Commission) is the agency charged with enforcing the New York City Human Rights Law (NYCHRL) – one of the most expansive civil rights laws in the nation. Through its Law Enforcement Bureau (LEB), the Commission accepts claims filed by the public, and has the power to initiate its own investigations to affirmatively root out discrimination, harassment, retaliation and other violations of the NYCHRL. The Commission’s Community Relations Bureau (CRB) is empowered to take action against prejudice, intolerance, bigotry, discrimination and bias-related violence or harassment through education, trainings, outreach efforts, and other mechanisms aimed at creating partnerships and relationships with stakeholders in the community. Both bureaus collaborate closely to work towards the shared goal of fostering mutual understanding and respect among all New Yorkers and encouraging equality of treatment throughout the City. The Commission is seeking to hire a qualified Assistant Commissioner, with particular expertise and knowledge about the diverse communities within the New York City, to serve in the CRB. The Assistant Commissioner for Community Relations is responsible for assisting with the daily supervision and management of the Community Relations Bureau personnel to ensure successful delivery and fulfillment of outreach objectives and outcomes. The Assistant Commissioner will manage CRB’s outreach personnel and outreach performance metrics. Reporting to the Deputy Commissioner for Community Relations, the Assistant Commissioner for Community Relations serves as second in command of the Community Relations Bureau. The Assistant Commissioner’s job duties and responsibilities will include, but not be limited to: Job Description •\tProvide management and support to CSC Directors for borough outreach and strategic partnerships with community boards, community based organizations, and other relevant entities; •\tManage Lead Advisors in developing and deepening relationships and expertise in their respective communities and issue areas; •\tOversight and coordination of the Commission’s bias response and intervention; •\tIdentify underserved populations and engage in developing creative and effective outreach strategies; •\tCreate and implement professional development opportunities for CRB staff; •\tRepresent the Commission at public meetings, local neighborhood community projects, celebrations, and community events; •\tAssist Deputy Commissioner of Community Relations in managing internal operational functions, including tracking and analyzing key performance indicators, delivery of required reporting information, reviewing conflicts requests; •\tPerform other special projects and manage community relations initiatives as required	1. A baccalaureate degree from an accredited college or university and five years of full-time paid experience acquired within the last fifteen years, of supervisory or administrative experience including handling of business promotion or urban economic problems, at least 2 years of which must have been in a managerial or executive capacity with primary focus on business promotion or urban economic planning; or 2. A satisfactory equivalent combination of education and experience. However all candidates must have 2 years of managerial or executive experience as described in "1" above. Appropriate graduate study in an accredited college or university may be substituted for the general experience on a year-for-year basis. All candidates must have a four-year high school diploma or its equivalent approved by a State's Department of Education or a recognized accrediting organization.	• A master’s degree or comparable professional experience; • Minimum of five (5) years of relevant full-time professional experience in strategic planning, change management, statistical analysis, legal, or public policy oversight/regulation,; • Minimum of three (3) years of supervisory, managerial or executive capacity overseeing staff; • Familiarity with the NYCHRL and/or ability to read and understand laws, rules and regulations Excellent strategic thinking anticipating issues or trends and operations, quantitative/qualitative skills; • Excellent writing, editing and communication skills; • Expertise required in project management, process improvement and change management; • Command of skills to set and maintain high standards throughout the team; • Ability to gather and synthesize information from a wide variety of people and sources and communicate effectively to decision-makers. • Fluency in a language other than English.	NaN	For City employees: Go to Employee Self-Service (ESS) - www.nyc.gov/ess and search for Job ID# 426210 For all other applicants: Go to www.nyc.gov/careers and search for Job ID# 426210 Submission of a resume is not a guarantee that you will receive an interview. Only those candidates under consideration will be contacted. Note: This position is open to qualified persons with a disability who are eligible for the 55-a Program. Please indicate on your resume or cover letter if you would like to be considered for the position under the 55-a Program.	HOURS/SHIFT: 9 A.M. – 5 P.M.; ON OCCASION CANDIDATES WILL BE REQUIRED TO WORK EVENINGS AND/OR WEEKENDS TO SUPPORT THE DUTIES OF THE POSITION	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2019-12-16T00:00:00.000	2019-12-16T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Computer science, computer engineering, or software engineering	Fewer than 10 employees	Full-stack developer	6-8 years	3-5 years	Doing the same work	I am not interested in new job opportunities	Less than a year ago	A friend told me about a job opportunity	Slack;Other wiki tool (Github, Google Sites, proprietary software, etc.)	Less than a month	Taught yourself a new language, framework, or tool without taking a formal course;Participated in online coding competitions (e.g. HackerRank, CodeChef, TopCoder);Participated in a hackathon	The official documentation and/or standards for the technology;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.)	NaN	To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology;To win prizes or cash awards;Because I find it enjoyable	Strongly agree	Disagree	Disagree	Groovy;Java;JavaScript;Python;Ruby;SQL;HTML;CSS;Bash/Shell	JavaScript;Python;SQL;HTML;CSS;Bash/Shell	MongoDB;Redis;SQL Server;MySQL;PostgreSQL;IBM Db2;Amazon RDS/Aurora;Elasticsearch	PostgreSQL;Amazon RDS/Aurora;Elasticsearch	Heroku;Mac OS;WordPress	Heroku;Mac OS	React	React	Eclipse;RubyMine;Sublime Text;Vim;Visual Studio Code	MacOS	Agile;Kanban;Scrum	Git	Once a day	Evolving definitions of "fairness" in algorithmic versus human decisions	Artificial intelligence surpassing human intelligence ("the singularity")	The developers or the people creating the AI	I'm worried about the dangers more than I'm excited about the possibilities.	25 - 34 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=67165114	debt_consolidation	Debt consolidation	331xx	FL	27.06	Sep-89	18-Apr	2594.65	NaN	18-Jul	3/23/2016 12:07	NaN	https://www.bbc.co.uk/sport/football/49621186	beam.to/wsx2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017-10-18T16:27:38Z	512 Ave U	(718) 336-3888	8:57:00
2941	68394526	67757.0	0	$14,000.00	Senior Mechanical Cost Estimator	CONSTRUCTION PROJECT MANAGER	Eng, Design Const Supp	The New York City Department of Housing Preservation and Development (HPD) is the nation’s largest municipal housing preservation and development agency. Its mission is to promote quality housing and diverse, thriving neighborhoods for New Yorkers through loan and development programs for new affordable housing, preservation of the affordability of the existing housing stock, enforcement of housing quality standards, and educational programs for tenants and building owners. HPD is tasked with fulfilling Mayor de Blasio’s Housing New York Plan which was recently expanded and accelerated through Housing New York 2.0 to complete the initial goal of 200,000 homes two years ahead of schedule by 2022, and achieve an additional 100,000 homes over the following four years, for a total of 300,000 homes by 2026. Your Team: The Office of Building and Land Development Services (BLDS) leads the agency’s effort in providing architectural, engineering, environmental planning, and construction support services to the various divisions within HPD’s Office of Development. The Office of Development utilizes a public-private partnership model and provides loans, grants and/or incentives to assist in the finance of housing development projects that will benefit low- and moderate-income New Yorkers. The Division of Building and Land Development Services is the largest division within the Office of Development with over 130 staff composed of seven Unit which include; the Bureau of New Construction Design Services, the Bureau of Preservation Design Services, the Bureau of Engineering, the Bureau of Construction Services, Environmental Planning Unit, the Codes and Standards Unit, and the Program Management Unit. Your Impact: As a Senior Cost Estimator, you will be responsible for preparing and reviewing mechanical cost estimates and detailed take-offs for both newly-constructed and rehabilitated multi-family buildings assisted by HPD Funding/Assistance. Your Role: The ideal candidate should have a background in Engineering, Engineering Science, or related field, and possess a thorough understanding and strong knowledge base of New York City building and construction codes, as well as Federal, State, and City housing codes and regulations, along with experience in methods and standards for new construction and preservation of multi-family housing. Your Responsibilities: •\tReview cost estimates and change orders prepared by external consultants for accuracy and reasonableness of mechanical, plumbing, and sprinkler systems in multi-family buildings; •\tPerform value engineering and evaluate energy efficiency measures to determine cost savings and produce base costs and preliminary budget estimates of mechanical, plumbing, and sprinkler systems in multi-family buildings; •\tReview contractors’ bid proposals and prepare bid recommendations of mechanical, plumbing, and sprinkler systems; •\tAssess the validity of change order requests and its impact on the construction schedule and project cost, which include mechanical, plumbing, and sprinkler systems in multi-family buildings; •\tAssist in the processing of documents related to change orders and attend meetings related to change order negotiations with other HPD staff and external partners involved; •\tReview and analyze construction documents, including drawings, scopes of work, and specifications; and •\tAssist in developing and maintaining a historical cost database in order to prepare, analyze, and validate estimates and budgets.	1. A four-year high school diploma or its educational equivalent approved by a State’s Department of Education or a recognized accrediting organization, and five years of full-time satisfactory experience managing and/or inspecting one or more construction projects which must have a total cost of at least $300,000 for each of the five years of the required experience; or 2. One year of the experience as described in “1” above and a baccalaureate degree from an accredited college or university, accredited by regional, national, professional or specialized agencies recognized as accrediting bodies by the U. S. Secretary of Education and by the Council for Higher Education Accreditation (CHEA), in engineering, engineering technology, architecture, architectural technology, landscape architecture, construction, construction technology, or construction management; or 3. One year of the experience as described in “1” above and a valid license as a professional engineer, registered architect, or registered landscape architect, issued by a board of examining engineers, architects, or landscape architects duly established and qualified pursuant to the laws of any state or territory of the United States; or 4. A four-year high school diploma or its educational equivalent approved by a State's Department of Education or a recognized accrediting organization, and a combination of at least two years of experience as described in “1” above and the education as described in “2” above to equal a total of five years of education and experience. Matriculation in an undergraduate college degree program as described in “2” above may be substituted for experience on the basis of 30 semester credits for one year of satisfactory full-time experience up to a maximum of three years of experience. Note: Candidates must specify for each construction project they worked on: a description of the construction project, the time period they worked on the construction project, and the type of work they performed. Candidates must also specify the money allotted for the project. Driver License Requirement: At the time of appointment to this position, you must have a motor vehicle driver license valid in the State of New York. If you have moving violations, license suspension or an accident record, you may be disqualified. This license must be maintained for the duration of your employment. 5. For Assignment to Level II, In addition to meeting the "Qualification Requirements" above, candidates must have one additional year of satisfactory full-time experience working in Assignment Level I; or one additional year of satisfactory full-time experience as described in "1" above. 6. For Assignment to Level III, in addition to meeting the Qualification Requirements for Construction Project Manager, candidates must have two additional years of satisfactory full-time experience working in Construction Project Manager Assignment Level I and II; or two additional years of satisfactory full-time experience as described in question "1" above and possess a motor vehicle driver license valid in the State of New York which must be maintained for the duration of employment noting that if you have moving violations, license suspension or an accident record, you may be disqualified.	1.\tThorough knowledge of City, State and Federal housing regulations, procedures and practice. 2.\tFamiliarity with New York City government and housing issues. 3.\tProficient in the use of various cost estimating tools, including RS Means and Sage. 4.\tProficient in Microsoft Suite (Excel, PowerPoint, Outlook, Word, etc.). 5.\tThorough understanding of construction and cost estimating industry standards. 6.\tAbility to read and understand drawings/plans, scopes of work, and specifications. 7.\tAbility to negotiate with diverse technical specialists. 8.\tAbility to work independently, apply independent judgment in technical matters, take initiative, and work effectively with others. 9.\tExcellent technical, writing, verbal, interpersonal, analytical, and organizational skills. 10.\tDemonstrated ability to work under pressure, meet deadlines, and coordinate multiple projects in a timely manner. 11.\tDemonstrated ability to deal with sensitive, complex issues that may arise. 12.\tCandidate may be subject to a background investigation conducted by the Department of Investigations.	NaN	Apply Online.	NaN	New York City Residency is not required for this position	2019-12-16T00:00:00.000	2019-12-16T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Computer science, computer engineering, or software engineering	20 to 99 employees	Desktop or enterprise applications developer;Embedded applications or devices developer;Full-stack developer;Mobile developer	6-8 years	6-8 years	Doing the same work	I�m not actively looking, but I am open to new opportunities	Between 1 and 2 years ago	A friend told me about a job opportunity	Slack;Trello;Other chat system (IRC, proprietary software, etc.);Other wiki tool (Github, Google Sites, proprietary software, etc.)	Three to six months	Taken an online course in programming or software development (e.g. a MOOC);Participated in a full-time developer training program or bootcamp;Taken a part-time in-person course in programming or software development;Completed an industry certification program (e.g. MCPD);Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course;Participated in a hackathon	The official documentation and/or standards for the technology;A book or e-book from O�Reilly, Apress, or a similar publisher;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.)	Immediately after graduating	To improve my general technical skills or programming ability;To improve my knowledge of a specific programming language, framework, or other technology	Agree	Agree	Disagree	C#;JavaScript;SQL;TypeScript;HTML;CSS	C++	SQL Server;MySQL;PostgreSQL	Redis;Memcached;Microsoft Azure (Tables, CosmosDB, SQL, etc)	Android;Arduino;Windows Desktop or Server	Azure;Linux;Serverless	.NET Core;Xamarin	React;TensorFlow	Sublime Text;Visual Studio;Visual Studio Code	Windows	Agile;Extreme programming (XP);Pair programming;Scrum	Git;Team Foundation Version Control	Multiple times per day	Algorithms making important decisions	Increasing automation of jobs	The developers or the people creating the AI	I'm excited about the possibilities more than worried about the dangers.	25 - 34 years old	60 months	Current	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68394526	debt_consolidation	Debt consolidation	234xx	VA	15.54	3-Jan	19-Mar	321.71	19-Apr	19-Mar	3/23/2016 12:07	NaN	http://feeds.reuters.com/~r/reuters/topNews/~3/EW0Hzpv7iRA/british-lawmakers-prepare-court-action-to-enforce-brexit-delay-idUSKCN1VS06J	www.rezidentcr.cz/includes/PEAR/layouts/mobile/admin/login.php	drmilam@srmsims.ac.in	NaN	NaN	NaN	NaN	NaN	NaN	2017-10-18T16:27:38Z	512 Ave U	(718) 336-3888	8:45:00
2942	68404684	67757.0	1	$18,675.00	Senior Mechanical Cost Estimator	CONSTRUCTION PROJECT MANAGER	Eng, Design Const Supp	The New York City Department of Housing Preservation and Development (HPD) is the nation’s largest municipal housing preservation and development agency. Its mission is to promote quality housing and diverse, thriving neighborhoods for New Yorkers through loan and development programs for new affordable housing, preservation of the affordability of the existing housing stock, enforcement of housing quality standards, and educational programs for tenants and building owners. HPD is tasked with fulfilling Mayor de Blasio’s Housing New York Plan which was recently expanded and accelerated through Housing New York 2.0 to complete the initial goal of 200,000 homes two years ahead of schedule by 2022, and achieve an additional 100,000 homes over the following four years, for a total of 300,000 homes by 2026. Your Team: The Office of Building and Land Development Services (BLDS) leads the agency’s effort in providing architectural, engineering, environmental planning, and construction support services to the various divisions within HPD’s Office of Development. The Office of Development utilizes a public-private partnership model and provides loans, grants and/or incentives to assist in the finance of housing development projects that will benefit low- and moderate-income New Yorkers. The Division of Building and Land Development Services is the largest division within the Office of Development with over 130 staff composed of seven Unit which include; the Bureau of New Construction Design Services, the Bureau of Preservation Design Services, the Bureau of Engineering, the Bureau of Construction Services, Environmental Planning Unit, the Codes and Standards Unit, and the Program Management Unit. Your Impact: As a Senior Cost Estimator, you will be responsible for preparing and reviewing mechanical cost estimates and detailed take-offs for both newly-constructed and rehabilitated multi-family buildings assisted by HPD Funding/Assistance. Your Role: The ideal candidate should have a background in Engineering, Engineering Science, or related field, and possess a thorough understanding and strong knowledge base of New York City building and construction codes, as well as Federal, State, and City housing codes and regulations, along with experience in methods and standards for new construction and preservation of multi-family housing. Your Responsibilities: •\tReview cost estimates and change orders prepared by external consultants for accuracy and reasonableness of mechanical, plumbing, and sprinkler systems in multi-family buildings; •\tPerform value engineering and evaluate energy efficiency measures to determine cost savings and produce base costs and preliminary budget estimates of mechanical, plumbing, and sprinkler systems in multi-family buildings; •\tReview contractors’ bid proposals and prepare bid recommendations of mechanical, plumbing, and sprinkler systems; •\tAssess the validity of change order requests and its impact on the construction schedule and project cost, which include mechanical, plumbing, and sprinkler systems in multi-family buildings; •\tAssist in the processing of documents related to change orders and attend meetings related to change order negotiations with other HPD staff and external partners involved; •\tReview and analyze construction documents, including drawings, scopes of work, and specifications; and •\tAssist in developing and maintaining a historical cost database in order to prepare, analyze, and validate estimates and budgets.	1. A four-year high school diploma or its educational equivalent approved by a State’s Department of Education or a recognized accrediting organization, and five years of full-time satisfactory experience managing and/or inspecting one or more construction projects which must have a total cost of at least $300,000 for each of the five years of the required experience; or 2. One year of the experience as described in “1” above and a baccalaureate degree from an accredited college or university, accredited by regional, national, professional or specialized agencies recognized as accrediting bodies by the U. S. Secretary of Education and by the Council for Higher Education Accreditation (CHEA), in engineering, engineering technology, architecture, architectural technology, landscape architecture, construction, construction technology, or construction management; or 3. One year of the experience as described in “1” above and a valid license as a professional engineer, registered architect, or registered landscape architect, issued by a board of examining engineers, architects, or landscape architects duly established and qualified pursuant to the laws of any state or territory of the United States; or 4. A four-year high school diploma or its educational equivalent approved by a State's Department of Education or a recognized accrediting organization, and a combination of at least two years of experience as described in “1” above and the education as described in “2” above to equal a total of five years of education and experience. Matriculation in an undergraduate college degree program as described in “2” above may be substituted for experience on the basis of 30 semester credits for one year of satisfactory full-time experience up to a maximum of three years of experience. Note: Candidates must specify for each construction project they worked on: a description of the construction project, the time period they worked on the construction project, and the type of work they performed. Candidates must also specify the money allotted for the project. Driver License Requirement: At the time of appointment to this position, you must have a motor vehicle driver license valid in the State of New York. If you have moving violations, license suspension or an accident record, you may be disqualified. This license must be maintained for the duration of your employment. 5. For Assignment to Level II, In addition to meeting the "Qualification Requirements" above, candidates must have one additional year of satisfactory full-time experience working in Assignment Level I; or one additional year of satisfactory full-time experience as described in "1" above. 6. For Assignment to Level III, in addition to meeting the Qualification Requirements for Construction Project Manager, candidates must have two additional years of satisfactory full-time experience working in Construction Project Manager Assignment Level I and II; or two additional years of satisfactory full-time experience as described in question "1" above and possess a motor vehicle driver license valid in the State of New York which must be maintained for the duration of employment noting that if you have moving violations, license suspension or an accident record, you may be disqualified.	1.\tThorough knowledge of City, State and Federal housing regulations, procedures and practice. 2.\tFamiliarity with New York City government and housing issues. 3.\tProficient in the use of various cost estimating tools, including RS Means and Sage. 4.\tProficient in Microsoft Suite (Excel, PowerPoint, Outlook, Word, etc.). 5.\tThorough understanding of construction and cost estimating industry standards. 6.\tAbility to read and understand drawings/plans, scopes of work, and specifications. 7.\tAbility to negotiate with diverse technical specialists. 8.\tAbility to work independently, apply independent judgment in technical matters, take initiative, and work effectively with others. 9.\tExcellent technical, writing, verbal, interpersonal, analytical, and organizational skills. 10.\tDemonstrated ability to work under pressure, meet deadlines, and coordinate multiple projects in a timely manner. 11.\tDemonstrated ability to deal with sensitive, complex issues that may arise. 12.\tCandidate may be subject to a background investigation conducted by the Department of Investigations.	NaN	Apply Online.	NaN	New York City Residency is not required for this position	2019-12-16T00:00:00.000	2019-12-16T00:00:00.000	2019-12-17T00:00:00.000	Master�s degree (MA, MS, M.Eng., MBA, etc.)	Another engineering discipline (ex. civil, electrical, mechanical)	5,000 to 9,999 employees	Back-end developer;Desktop or enterprise applications developer	15-17 years	9-11 years	Doing the same work	I am not interested in new job opportunities	More than 4 years ago	A recruiter contacted me	Slack;Other chat system (IRC, proprietary software, etc.);Other wiki tool (Github, Google Sites, proprietary software, etc.)	Less than a month	Taught yourself a new language, framework, or tool without taking a formal course	The official documentation and/or standards for the technology;The technology�s online help system	NaN	NaN	Agree	Disagree	Strongly disagree	C++;Go;JavaScript	C++;TypeScript	NaN	NaN	Linux;Windows Desktop or Server	Windows Desktop or Server	NaN	NaN	Sublime Text;Visual Studio Code	Windows	Agile	Git	Multiple times per day	Algorithms making important decisions	Increasing automation of jobs	The developers or the people creating the AI	I'm excited about the possibilities more than worried about the dangers.	25 - 34 years old	60 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68404684	debt_consolidation	Debt consolidation	207xx	MD	26.74	3-Nov	17-Nov	14248.32	NaN	19-Mar	3/23/2016 12:07	NaN	http://www.bbc.co.uk/news/world-asia-49621405	www.motolobo.com/gallery2/.xo.php	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017-10-18T16:27:38Z	512 Ave U	(718) 336-3888	8:25:00
2943	68414567	54100.0	0	$24,000.00	Conversion Coordinator	COMMUNITY COORDINATOR	Operations	The New York City Department of Housing Preservation and Development (HPD) is the nation’s largest municipal housing preservation and development agency. Its mission is to promote quality housing and diverse, thriving neighborhoods for New Yorkers through loan and development programs for new affordable housing, preservation of the affordability of the existing housing stock, enforcement of housing quality standards, and educational programs for tenants and building owners. HPD is tasked with fulfilling Mayor de Blasio’s Housing New York Plan which was recently expanded and accelerated through Housing New York 2.0 to complete the initial goal of 200,000 homes two years ahead of schedule by 2022, and achieve an additional 100,000 homes over the following four years, for a total of 300,000 homes by 2026. Your Team: The Conversions Unit, seated in the Executive Office of Development, coordinates the conversion of construction loans to permanent financing as part of the City’s ambitious Housing New York affordable housing plan. The Conversions team operates in three functions: 1) facilitating the conversion of construction loans to permanent loans for both New Construction and Preservation projects, 2) managing the rent-restructuring implementation and rental achievement according to regulatory guidelines, and 3) processing Section 8 allocations for development projects. The Conversions team is made up of a director, managing analyst, 4 Conversions coordinators, a Section 8 specialist, and an administrative assistant. Your Impact: As a Conversions Coordinator, you will have the opportunity to support the permanent loan conversion process of New Construction and Preservation projects with HPD financing through closing and transfer to Asset Management. The Conversion Coordinator will also manage the necessary rent-restructuring implementation and processing of Section 8 allocations for development projects. Coordinators will be responsible for coordinating tenant applications, tracking progress, communicating with Division of Tenant Resources (DTR) and maintaining the feedback loop with landlords. The conversions coordinator will also have the opportunity to recommend policy, process, and engagement improvements towards greater program efficiency. These efforts will help drive the Agency’s goal of providing 300,000 units by 2026. Your Role: As a Conversions Coordinator, you will be supporting the project managers in facilitating crucial aspects of a conversion and/or rent restructuring implementation within deadline and in accordance with currently applicable laws, codes, policies and procedures. This work will include, but not be limited to, reviewing and analyzing legal documents, data entry, analyzing rent rolls, and keeping track of submitted documents. The Conversions Coordinator will also manage the Section 8 allocation process form end to end. This includes liaising with the development team on voucher allocation needs, tracking and troubleshooting applications, coordinating with DTR and maintaining the feedback loop with landlords and necessary stakeholders. Your Responsibilities: Your responsibilities will include, but not be limited to: •\tMeet with residents to complete Section 8 application or mail blank application to for residents who have requested a reasonable accommodation •\tReview S8 applications for completeness •\tTrack S8 applications to ensure timely processing of payment to landlord •\tRespond to all landlord and tenant inquires •\tFollow up with DTR on landlord issues and concerns •\tOrganize and participate in S8 teleconference with sponsors/landlords regarding S8 statuses •\tMaintains Daily Application Chart – List the number of applications submitted to DTR on a daily basis •\tPrepare and maintain Section 8 weekly report to landlords •\tUtilize technical systems for processing and conducting research of applications status and payments (I.E. AMS, Elite, ECS and BOSS) •\tManage NOFA process (applications/Issues and conditions) in coordination with other team members. •\tSupport Conversion project managers as needed •\tProactively and pre-emptively highlight challenges, missing information, delays, problems and other issues that may affect a conversion and coordinate the necessary actions to resolve •\tEnsure compliance and consistency in implementation of rent restructuring within federal, local and regulatory guidelines •\tBuild and prepare the legal file for closing or rent restructuring in accordance with checklist templates and other requirements; ensure all information is accurate, complete, well-organized and timely. •\tMaintain accurate records of updates and calculations utilizing excel spreadsheets and access databases •\tDemonstrate ability to meet deadlines and manage multiple projects in a timely manner •\tWork on special projects as needed In addition to the tasks described above, the individual hired will be expected to take on additional tasks as time allows which may include tracking workflow and assisting with team projects. Staff must be able to handle both financial modeling and external client relationships.	1. A baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or 2. High school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least one year of experience as described in "1" above.	Strong preference for candidates who possess: •\tProven interest in community development, urban planning, affordable housing or real estate finance •\tKnowledge of New York City affordable housing and private lending programs •\tAdvanced computer skills including competency in Microsoft Office suite, especially Excel and Access •\tStrong interpersonal and communication skills and excellent writing and editing skills •\tDemonstrated capacity for performing and prioritizing multiple tasks, using independent judgment, and conducting difficult negotiations while maintaining professional decorum	NaN	Apply Online.	NaN	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2019-12-16T00:00:00.000	2019-12-16T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Computer science, computer engineering, or software engineering	10,000 or more employees	Back-end developer;Full-stack developer	3-5 years	3-5 years	Working in a different or more specialized technical role than the one I'm in now	I am actively looking for a job	Less than a year ago	My job status or other personal status changed	Jira	One to three months	Received on-the-job training in software development;Taught yourself a new language, framework, or tool without taking a formal course;Participated in online coding competitions (e.g. HackerRank, CodeChef, TopCoder);Participated in a hackathon	The official documentation and/or standards for the technology;Questions & answers on Stack Overflow;Tapping your network of friends, family, and peers versed in the technology;The technology�s online help system	NaN	To improve my general technical skills or programming ability;To help me find new job opportunities	Disagree	Neither Agree nor Disagree	Disagree	C#;Java;JavaScript;HTML	C++;Go;Java;JavaScript;R;TypeScript;Kotlin	Redis;SQL Server;MySQL	Cassandra;MongoDB;Redis;MySQL;Amazon RDS/Aurora;Elasticsearch	Windows Desktop or Server	AWS;Google Cloud Platform/App Engine;Heroku;Linux	Angular;.NET Core	Angular;Node.js;Spring;TensorFlow	Eclipse;IntelliJ;Visual Studio;Visual Studio Code	Windows	Agile	Team Foundation Version Control	Multiple times per day	Increasing automation of jobs	Evolving definitions of "fairness" in algorithmic versus human decisions	The developers or the people creating the AI	I'm excited about the possibilities more than worried about the dangers.	18 - 24 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68414567	credit_card	Credit card refinancing	907xx	CA	23.43	Dec-99	16-Mar	23684.51	NaN	19-Mar	3/23/2016 12:07	NaN	https://www.businessinsider.com/boris-johnson-overpays-for-box-of-fish-during-scotland-visit-2019-9	youthscorner.com/wp-content/plugins/akismet/	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017-10-18T16:27:38Z	512 Ave U	(718) 336-3888	8:00:00
2944	68373599	54100.0	0	$2,500.00	Conversion Coordinator	COMMUNITY COORDINATOR	Operations	The New York City Department of Housing Preservation and Development (HPD) is the nation’s largest municipal housing preservation and development agency. Its mission is to promote quality housing and diverse, thriving neighborhoods for New Yorkers through loan and development programs for new affordable housing, preservation of the affordability of the existing housing stock, enforcement of housing quality standards, and educational programs for tenants and building owners. HPD is tasked with fulfilling Mayor de Blasio’s Housing New York Plan which was recently expanded and accelerated through Housing New York 2.0 to complete the initial goal of 200,000 homes two years ahead of schedule by 2022, and achieve an additional 100,000 homes over the following four years, for a total of 300,000 homes by 2026. Your Team: The Conversions Unit, seated in the Executive Office of Development, coordinates the conversion of construction loans to permanent financing as part of the City’s ambitious Housing New York affordable housing plan. The Conversions team operates in three functions: 1) facilitating the conversion of construction loans to permanent loans for both New Construction and Preservation projects, 2) managing the rent-restructuring implementation and rental achievement according to regulatory guidelines, and 3) processing Section 8 allocations for development projects. The Conversions team is made up of a director, managing analyst, 4 Conversions coordinators, a Section 8 specialist, and an administrative assistant. Your Impact: As a Conversions Coordinator, you will have the opportunity to support the permanent loan conversion process of New Construction and Preservation projects with HPD financing through closing and transfer to Asset Management. The Conversion Coordinator will also manage the necessary rent-restructuring implementation and processing of Section 8 allocations for development projects. Coordinators will be responsible for coordinating tenant applications, tracking progress, communicating with Division of Tenant Resources (DTR) and maintaining the feedback loop with landlords. The conversions coordinator will also have the opportunity to recommend policy, process, and engagement improvements towards greater program efficiency. These efforts will help drive the Agency’s goal of providing 300,000 units by 2026. Your Role: As a Conversions Coordinator, you will be supporting the project managers in facilitating crucial aspects of a conversion and/or rent restructuring implementation within deadline and in accordance with currently applicable laws, codes, policies and procedures. This work will include, but not be limited to, reviewing and analyzing legal documents, data entry, analyzing rent rolls, and keeping track of submitted documents. The Conversions Coordinator will also manage the Section 8 allocation process form end to end. This includes liaising with the development team on voucher allocation needs, tracking and troubleshooting applications, coordinating with DTR and maintaining the feedback loop with landlords and necessary stakeholders. Your Responsibilities: Your responsibilities will include, but not be limited to: •\tMeet with residents to complete Section 8 application or mail blank application to for residents who have requested a reasonable accommodation •\tReview S8 applications for completeness •\tTrack S8 applications to ensure timely processing of payment to landlord •\tRespond to all landlord and tenant inquires •\tFollow up with DTR on landlord issues and concerns •\tOrganize and participate in S8 teleconference with sponsors/landlords regarding S8 statuses •\tMaintains Daily Application Chart – List the number of applications submitted to DTR on a daily basis •\tPrepare and maintain Section 8 weekly report to landlords •\tUtilize technical systems for processing and conducting research of applications status and payments (I.E. AMS, Elite, ECS and BOSS) •\tManage NOFA process (applications/Issues and conditions) in coordination with other team members. •\tSupport Conversion project managers as needed •\tProactively and pre-emptively highlight challenges, missing information, delays, problems and other issues that may affect a conversion and coordinate the necessary actions to resolve •\tEnsure compliance and consistency in implementation of rent restructuring within federal, local and regulatory guidelines •\tBuild and prepare the legal file for closing or rent restructuring in accordance with checklist templates and other requirements; ensure all information is accurate, complete, well-organized and timely. •\tMaintain accurate records of updates and calculations utilizing excel spreadsheets and access databases •\tDemonstrate ability to meet deadlines and manage multiple projects in a timely manner •\tWork on special projects as needed In addition to the tasks described above, the individual hired will be expected to take on additional tasks as time allows which may include tracking workflow and assisting with team projects. Staff must be able to handle both financial modeling and external client relationships.	1. A baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or 2. High school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least one year of experience as described in "1" above.	Strong preference for candidates who possess: •\tProven interest in community development, urban planning, affordable housing or real estate finance •\tKnowledge of New York City affordable housing and private lending programs •\tAdvanced computer skills including competency in Microsoft Office suite, especially Excel and Access •\tStrong interpersonal and communication skills and excellent writing and editing skills •\tDemonstrated capacity for performing and prioritizing multiple tasks, using independent judgment, and conducting difficult negotiations while maintaining professional decorum	NaN	Apply Online.	NaN	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2019-12-16T00:00:00.000	2019-12-16T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Web development or web design	100 to 499 employees	Back-end developer;Database administrator;Designer;Front-end developer	3-5 years	0-2 years	Working in a different or more specialized technical role than the one I'm in now	I am actively looking for a job	Less than a year ago	I saw an employer�s advertisement	Facebook;Google Hangouts/Chat;HipChat;Office / productivity suite (Microsoft Office, Google Suite, etc.);Stack Overflow Enterprise	Less than a month	NaN	NaN	NaN	NaN	Strongly disagree	Strongly disagree	Disagree	Assembly;C;PHP;SQL;HTML;CSS	PHP;Python;SQL;HTML;CSS	SQL Server;MySQL	SQL Server;MySQL	NaN	Amazon Echo;Android;Apple Watch or Apple TV;Arduino;AWS;Azure;Drupal;ESP8266;Gaming console;IBM Cloud or Watson;iOS;Linux;Mac OS;Serverless;Windows Desktop or Server;Windows Phone;Firebase	NaN	Angular;Hadoop;Node.js;Spark;Spring;Torch/PyTorch	Notepad++	MacOS	Formal standard such as ISO 9001 or IEEE 12207 (aka �waterfall� methodologies)	Zip file back-ups	Once a day	Increasing automation of jobs	Evolving definitions of "fairness" in algorithmic versus human decisions	A governmental or other regulatory body	I'm excited about the possibilities more than worried about the dangers.	18 - 24 years old	36 months	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68373599	debt_consolidation	Debt consolidation	274xx	NC	26.55	11-Sep	18-Dec	170.36	NaN	18-Dec	3/23/2016 12:07	NaN	https://www.businessinsider.com/election-2020-where-the-democratic-candidates-stand-on-climate-change-2019-9	www.paypal.com.us.cgi-bin.webscr.cmd-home.country-lang.x-true.paypal.cmd-login-run.dispatch.5885d80a13c0db1f8e263663d.3faee8d43b1bb6ca6ed6d454adc375ba2d28b99.thebestdir.com/cgi/	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017-10-18T16:27:38Z	512 Ave U	(718) 336-3888	8:00:00
2945	68172458	36390.0	0	$10,000.00	Administrative Associate	CLERICAL ASSOCIATE	Internal Audits & Discipline	Overseen by the Office Manager, the Administrative Assistant/Intake Specialist will be responsible for: •\tServing as the frontline receiver of inquiries, communications, and complaints, from the public and Department staff, via telephone, e-mail, and in person; •\tCreating Intake case files, inputting, maintaining, and tracking relevant data; •\tDrafting summaries of complaints, information and reports received via telephone, mail, or email for review by IAD managers; •\tFielding telephone calls and e-mails, while providing prompt and courteous customer service; •\tReferring inquires, information, or complaints to the appropriate IAD staff member, Department unit, or other City agency in a discrete and efficient manner; •\tCreating various reports using various computer applications; •\tProviding administrative support to all employees in the unit, including scheduling, ordering supplies, and assisting with FOIL requests •\tAssisting with office-related issues such as coordinating with Employee Services, Asset Management, and IT for the onboarding of new staff; •\tOverseeing and maintaining the orderly storage of IAD files and archiving case records; •\tMaintaining the unit’s calendars, including scheduling visitors and tracking appointments; •\tSorting, logging and distributing mail to staff accordingly; •\tFaxing, copying and filing documents; •\tPerforming daily clerical functions as needed; •\tUndertaking special projects and tasks as assigned by the Director.	Qualification Requirements A four-year high school diploma or its educational equivalent approved by a State's department of education or a recognized accrediting organization and one year of satisfactory clerical experience. Skills Requirement Keyboard familiarity with the ability to type at a minimum of 100 key strokes (20 words) per minute.	ERROR: #NAME?	ONLY PERMANENT CLERICAL ASSOCIAT WILL BE CONSIDERED This position is open to qualified persons with a disability who are eligible for the 55-a program. Please indicate in your cover letter that you would like to be considered for the position under the 55-a program.	For Current City Employees: Visit www.nyc.gov/ess to view and apply for available positions. Click on Recruiting Activities, Careers, and search for the specific Job ID #. No phone calls, faxes or personal inquiries permitted. NOTE: ONLY THOSE CANDIDATES UNDER CONSIDERATION WILL BE CONTACTED	NaN	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.	2019-12-16T00:00:00.000	2019-12-16T00:00:00.000	2019-12-17T00:00:00.000	Bachelor�s degree (BA, BS, B.Eng., etc.)	Computer science, computer engineering, or software engineering	10,000 or more employees	Back-end developer	0-2 years	0-2 years	Working in a different or more specialized technical role than the one I'm in now	I am not interested in new job opportunities	Between 2 and 4 years ago	A recruiter contacted me	Confluence;Jira	Less than a month	Taught yourself a new language, framework, or tool without taking a formal course	The official documentation and/or standards for the technology;Questions & answers on Stack Overflow;Online developer communities other than Stack Overflow (ex. forums, listservs, IRC channels, etc.);The technology�s online help system	NaN	NaN	Agree	Neither Agree nor Disagree	Neither Agree nor Disagree	Groovy;JavaScript;Python;Bash/Shell	Groovy;Java;JavaScript;Python;Bash/Shell	NaN	Amazon DynamoDB;Amazon RDS/Aurora;Elasticsearch	NaN	Google Home	Node.js	Angular;Node.js	Notepad++;PyCharm	Windows	Agile;Scrum	Git	Multiple times per day	Artificial intelligence surpassing human intelligence ("the singularity")	Increasing automation of jobs	A governmental or other regulatory body	I'm worried about the dangers more than I'm excited about the possibilities.	25 - 34 years old	60 months	Current	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68172458	credit_card	Credit card refinancing	606xx	IL	35.90	Jul-98	19-Feb	249.98	19-Apr	19-Mar	3/23/2016 12:07	NaN	https://www.irishtimes.com/life-and-style/food-and-drink/recipes/beetroot-mama-ganoush-1.3999047	ppweb.httpxxcwwwhttps.igg.biz/3416785/3416785	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017-10-18T16:27:38Z	512 Ave U	(718) 336-3888	8:00:00

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